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Network Working Group                                          B. Aboba
Request for Comments: 2975                        Microsoft Corporation
Category: Informational                                        J. Arkko
                                                               Ericsson
                                                          D. Harrington
                                                 Cabletron Systems Inc.
                                                           October 2000


                 Introduction to Accounting Management

Status of this Memo

   This memo provides information for the Internet community.  It does
   not specify an Internet standard of any kind.  Distribution of this
   memo is unlimited.

Copyright Notice

   Copyright (C) The Internet Society (2000).  All Rights Reserved.

Abstract

   The field of Accounting Management is concerned with the collection
   of resource consumption data for the purposes of capacity and trend
   analysis, cost allocation, auditing, and billing.  This document
   describes each of these problems, and discusses the issues involved
   in design of modern accounting systems.

   Since accounting applications do not have uniform security and
   reliability requirements, it is not possible to devise a single
   accounting protocol and set of security services that will meet all
   needs.  Thus the goal of accounting management is to provide a set of
   tools that can be used to meet the requirements of each application.
   This document describes the currently available tools as well as the
   state of the art in accounting protocol design.  A companion
   document, RFC 2924, reviews the state of the art in accounting
   attributes and record formats.













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Table of Contents

   1.  Introduction                                             2
       1.1   Requirements language                              3
       1.2   Terminology                                        3
       1.3   Accounting management architecture                 5
       1.4   Accounting management objectives                   7
       1.5   Intra-domain and inter-domain accounting          10
       1.6   Accounting record production                      11
       1.7   Requirements summary                              13
   2.  Scaling and reliability                                 14
       2.1   Fault resilience                                  14
       2.2   Resource consumption                              23
       2.3   Data collection models                            26
   3.  Review of Accounting Protocols                          32
       3.1 RADIUS                                              32
       3.2 TACACS+                                             33
       3.3 SNMP                                                33
   4.  Review of Accounting Data Transfer                      43
       4.1 SMTP                                                44
       4.2 Other protocols                                     44
   5.  Summary                                                 45
   6. Security Considerations                                  48
   7. Acknowledgments                                          48
   8. References                                               48
   9. Authors' Addresses                                       52
   10. Intellectual Property Statement                         53
   11. Full Copyright Statement                                54

1.  Introduction

   The field of Accounting Management is concerned with the collection
   of resource consumption data for the purposes of capacity and trend
   analysis, cost allocation, auditing, and billing.  This document
   describes each of these problems, and discusses the issues involved
   in design of modern accounting systems.

   Since accounting applications do not have uniform security and
   reliability requirements, it is not possible to devise a single
   accounting protocol and set of security services that will meet all
   needs.  Thus the goal of accounting management is to provide a set of
   tools that can be used to meet the requirements of each application.
   This document describes the currently available tools as well as the
   state of the art in accounting protocol design.  A companion
   document, RFC 2924, reviews the state of the art in accounting
   attributes and record formats.





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1.1.  Requirements language

   In this document, the key words "MAY", "MUST, "MUST NOT", "optional",
   "recommended", "SHOULD", and "SHOULD NOT", are to be interpreted as
   described in [6].

1.2.  Terminology

   This document frequently uses the following terms:

   Accounting
             The collection of resource consumption data for the
             purposes of capacity and trend analysis, cost allocation,
             auditing, and billing.  Accounting management requires that
             resource consumption be  measured, rated, assigned, and
             communicated between appropriate parties.

   Archival accounting
             In archival accounting, the goal is to collect all
             accounting data, to reconstruct missing entries as best as
             possible in the event of data loss, and to archive data for
             a mandated time period.  It is "usual and customary" for
             these systems to be engineered to be very robust against
             accounting data loss.  This may include provisions for
             transport layer as well as application layer
             acknowledgments, use of non-volatile storage, interim
             accounting capabilities (stored or transmitted over the
             wire), etc.  Legal or financial requirements frequently
             mandate archival accounting practices, and may often
             dictate that data be kept confidential, regardless of
             whether it is to be used for billing purposes or not.

   Rating    The act of determining the price to be charged for use of a
             resource.

   Billing   The act of preparing an invoice.

   Usage sensitive billing
             A billing process that depends on usage information to
             prepare an invoice can be said to be usage-sensitive.  In
             contrast, a process that is independent of usage
             information is said to be non-usage-sensitive.

   Auditing  The act of verifying the correctness of a procedure.  In
             order to be able to conduct an audit it is necessary to be
             able to definitively determine what procedures were
             actually carried out so as to be able to compare this to




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             the recommended process.  Accomplishing this may require
             security services such as authentication and integrity
             protection.

   Cost Allocation
             The act of allocating costs between entities.  Note that
             cost allocation and rating are fundamentally different
             processes.  In cost allocation the objective is typically
             to allocate a known cost among several entities.  In rating
             the objective is to determine the amount to be charged for
             use of a resource.  In cost allocation, the cost per unit
             of resource may need to be determined; in rating, this is
             typically a given.

   Interim accounting
             Interim accounting provides a snapshot of usage during a
             user's session.  This may be useful in the event of a
             device reboot or other network problem that prevents the
             reception or generation of a session summary packet or
             session record.  Interim accounting records can always be
             summarized without the loss of information.  Note that
             interim accounting records may be stored internally on the
             device (such as in non-volatile storage) so as to survive a
             reboot and thus may not always be transmitted over the
             wire.

   Session record
             A session record represents a summary of the resource
             consumption of a user over the entire session.  Accounting
             gateways creating the session record may do so by
             processing interim accounting events or accounting events
             from several devices serving the same user.

   Accounting Protocol
             A protocol used to convey data for accounting purposes.

   Intra-domain accounting
             Intra-domain accounting involves the collection of
             information on resource usage within an administrative
             domain, for use within that domain.  In intra-domain
             accounting, accounting packets and session records
             typically do not cross administrative boundaries.

   Inter-domain accounting
             Inter-domain accounting involves the collection of
             information on resource usage within an administrative





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             domain, for use within another administrative domain.  In
             inter-domain accounting, accounting packets and session
             records will typically cross administrative boundaries.

   Real-time accounting
             Real-time accounting involves the processing of information
             on resource usage within a defined time window.  Time
             constraints are typically imposed in order to limit
             financial risk.

   Accounting server
             The accounting server receives accounting data from devices
             and translates it into session records.  The accounting
             server may also take responsibility for the routing of
             session records to interested parties.

1.3.  Accounting management architecture

   The accounting management architecture involves interactions between
   network devices, accounting servers, and billing servers.  The
   network device collects resource consumption data in the form of
   accounting metrics.  This information is then transferred to an
   accounting server.  Typically this is accomplished via an accounting
   protocol, although it is also possible for devices to generate their
   own session records.

   The accounting server then processes the accounting data received
   from the network device.  This processing may include summarization
   of interim accounting information, elimination of duplicate data, or
   generation of session records.

   The processed accounting data is then submitted to a billing server,
   which typically handles rating and invoice generation, but may also
   carry out auditing, cost allocation, trend analysis or capacity
   planning functions.  Session records may be batched and compressed by
   the accounting server prior to submission to the billing server in
   order to reduce the volume of accounting data and the bandwidth
   required to accomplish the transfer.

   One of the functions of the accounting server is to distinguish
   between inter and intra-domain accounting events and to route them
   appropriately.  For session records containing a Network Access
   Identifier (NAI), described in [8], the distinction can be made by
   examining the domain portion of the NAI.  If the domain portion is
   absent or corresponds to the local domain, then the session record is
   treated as an intra-domain accounting event.  Otherwise, it is
   treated as an inter-domain accounting event.




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   Intra-domain accounting events are typically routed to the local
   billing server, while inter-domain accounting events will be routed
   to accounting servers operating within other administrative domains.
   While it is not required that session record formats used in inter
   and intra-domain accounting be the same, this is desirable, since it
   eliminates translations that would otherwise be required.

   Where a proxy forwarder is employed, domain-based access controls may
   be employed by the proxy forwarder, rather than by the devices
   themselves.  The network device will typically speak an accounting
   protocol to the proxy forwarder, which may then either convert the
   accounting packets to session records, or forward the accounting
   packets to another domain.  In either case, domain separation is
   typically achieved by having the proxy forwarder sort the session
   records or accounting messages by destination.

   Where the accounting proxy is not trusted, it may be difficult to
   verify that the proxy is issuing correct session records based on the
   accounting messages it receives, since the original accounting
   messages typically are not forwarded along with the session records.
   Therefore where trust is an issue, the proxy typically forwards the
   accounting packets themselves.  Assuming that the accounting protocol
   supports data object security, this allows the end-points to verify
   that the proxy has not modified the data in transit or snooped on the
   packet contents.


























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   The diagram below illustrates the accounting management architecture:

        +------------+
        |            |
        |   Network  |
        |   Device   |
        |            |
        +------------+
              |
   Accounting |
   Protocol   |
              |
              V
        +------------+                               +------------+
        |            |                               |            |
        |   Org B    |  Inter-domain session records |  Org A     |
        |   Acctg.   |<----------------------------->|  Acctg.    |
        |Proxy/Server|   or accounting protocol      |  Server    |
        |            |                               |            |
        +------------+                               +------------+
              |                                            |
              |                                            |
   Transfer   | Intra-domain                               |
   Protocol   | Session records                            |
              |                                            |
              V                                            V
        +------------+                               +------------+
        |            |                               |            |
        |  Org B     |                               |  Org A     |
        |  Billing   |                               |  Billing   |
        |  Server    |                               |  Server    |
        |            |                               |            |
        +------------+                               +------------+

1.4.  Accounting management objectives

   Accounting Management involves the collection of resource consumption
   data for the purposes of capacity and trend analysis, cost
   allocation, auditing, billing.  Each of these tasks has different
   requirements.

1.4.1.  Trend analysis and capacity planning

   In trend analysis and capacity planning, the goal is typically a
   forecast of future usage.  Since such forecasts are inherently
   imperfect, high reliability is typically not required, and moderate
   packet loss can be tolerated.  Where it is possible to use
   statistical sampling techniques to reduce data collection



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   requirements while still providing the forecast with the desired
   statistical accuracy, it may be possible to tolerate high packet loss
   as long as bias is not introduced.

   The security requirements for trend analysis and capacity planning
   depend on the circumstances of data collection and the sensitivity of
   the data.  Additional security services may be required when data is
   being transferred between administrative domains.  For example, when
   information is being collected and analyzed within the same
   administrative domain, integrity protection and authentication may be
   used in order to guard against collection of invalid data.  In
   inter-domain applications confidentiality may be desirable to guard
   against snooping by third parties.

1.4.2.  Billing

   When accounting data is used for billing purposes, the requirements
   depend on whether the billing process is usage-sensitive or not.

1.4.2.1.  Non-usage sensitive billing

   Since by definition, non-usage-sensitive billing does not require
   usage information, in theory all accounting data can be lost without
   affecting the billing process.  Of course this would also affect
   other tasks such as trend analysis or auditing, so that such
   wholesale data loss would still be unacceptable.

1.4.2.2.  Usage-sensitive billing

   Since usage-sensitive billing processes depend on usage information,
   packet loss may translate directly to revenue loss.  As a result, the
   billing process may need to conform to financial reporting and legal
   requirements, and therefore an archival accounting approach may be
   needed.

   Usage-sensitive systems may also require low processing delay.  Today
   credit risk is commonly managed by computerized fraud detection
   systems that are designed to detect unusual activity.  While
   efficiency concerns might otherwise dictate batched transmission of
   accounting data, where there is a risk of fraud, financial exposure
   increases with processing delay.  Thus it may be advisable to
   transmit each event individually to minimize batch size, or even to
   utilize quality of service techniques to minimize queuing delays.  In
   addition, it may be necessary for authorization to be dependent on
   ability to pay.






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   Whether these techniques will be useful varies by application since
   the degree of financial exposure is application-dependent.  For
   dial-up Internet access from a local provider, charges are typically
   low and therefore the risk of loss is small.  However, in the case of
   dial-up roaming or voice over IP, time-based charges may be
   substantial and therefore the risk of fraud is larger.  In such
   situations it is highly desirable to quickly detect unusual account
   activity, and it may be desirable for authorization to depend on
   ability to pay.  In situations where valuable resources can be
   reserved, or where charges can be high, very large bills may be rung
   up quickly, and processing may need to be completed within a defined
   time window in order to limit exposure.

   Since in usage-sensitive systems, accounting data translates into
   revenue, the security and reliability requirements are greater.  Due
   to financial and legal requirements such systems need to be able to
   survive an audit.  Thus security services such as authentication,
   integrity and replay protection are frequently required and
   confidentiality and data object integrity may also be desirable.
   Application-layer acknowledgments are also often required so as to
   guard against accounting server failures.

1.4.3.  Auditing

   With enterprise networking expenditures on the rise, interest in
   auditing is increasing.  Auditing, which is the act of verifying the
   correctness of a procedure, commonly relies on accounting data.
   Auditing tasks include verifying the correctness of an invoice
   submitted by a service provider, or verifying conformance to usage
   policy, service level agreements, or security guidelines.

   To permit a credible audit, the auditing data collection process must
   be at least as reliable as the accounting process being used by the
   entity that is being audited.  Similarly, security policies for the
   audit should be at least as stringent as those used in preparation of
   the original invoice.  Due to financial and legal requirements,
   archival accounting practices are frequently required in this
   application.

   Where auditing procedures are used to verify conformance to usage or
   security policies, security services may be desired.  This typically
   will include authentication, integrity and replay protection as well
   as confidentiality and data object integrity.  In order to permit
   response to security incidents in progress, auditing applications
   frequently are built to operate with low processing delay.






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1.4.4.  Cost allocation

   The application of cost allocation and billback methods by enterprise
   customers is not yet widespread.  However, with the convergence of
   telephony and data communications, there is increasing interest in
   applying cost allocation and billback procedures to networking costs,
   as is now commonly practiced with telecommunications costs.

   Cost allocation models, including traditional costing mechanisms
   described in [21]-[23] and activity-based costing techniques
   described in [24] are typically based on detailed analysis of usage
   data, and as a result they are almost always usage-sensitive.
   Whether these techniques are applied to allocation of costs between
   partners in a venture or to allocation of costs between departments
   in a single firm, cost allocation models often have profound
   behavioral and financial impacts.  As a result, systems developed for
   this purposes are typically as concerned with reliable data
   collection and security as are billing applications.  Due to
   financial and legal requirements, archival accounting practices are
   frequently required in this application.

1.5.  Intra-domain and inter-domain accounting

   Much of the initial work on accounting management has focused on
   intra-domain accounting applications.  However, with the increasing
   deployment of services such as dial-up roaming, Internet fax, Voice
   and Video over IP and QoS, applications requiring inter-domain
   accounting are becoming increasingly common.

   Inter-domain accounting differs from intra-domain accounting in
   several important ways.  Intra-domain accounting involves the
   collection of information on resource consumption within an
   administrative domain, for use within that domain.  In intra-domain
   accounting, accounting packets and session records typically do not
   cross administrative boundaries.  As a result, intra-domain
   accounting applications typically experience low packet loss and
   involve transfer of data between trusted entities.

   In contrast, inter-domain accounting involves the collection of
   information on resource consumption within an administrative domain,
   for use within another administrative domain.  In inter-domain
   accounting, accounting packets and session records will typically
   cross administrative boundaries.  As a result, inter-domain
   accounting applications may experience substantial packet loss.  In
   addition, the entities involved in the transfers cannot be assumed to
   trust each other.





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   Since inter-domain accounting applications involve transfers of
   accounting data between domains, additional security measures may be
   desirable.  In addition to authentication, replay and integrity
   protection, it may be desirable to deploy security services such as
   confidentiality and data object integrity.  In inter-domain
   accounting each involved party also typically requires a copy of each
   accounting event for invoice generation and auditing.

1.6.  Accounting record production

   Typically, a single accounting record is produced per session, or in
   some cases, a set of interim records which can be summarized in a
   single record for billing purposes.  However, to support deployment
   of services such as wireless access or complex billing regimes, a
   more sophisticated approach is required.

   It is necessary to generate several accounting records from a single
   session when pricing changes during a session.  For instance, the
   price of a service can be higher during peak hours than off-peak.
   For a session continuing from one tariff period to another, it
   becomes necessary for a device to report "packets sent" during both
   periods.

   Time is not the only factor requiring this approach.  For instance,
   in mobile access networks the user may roam from one place to another
   while still being connected in the same session.  If roaming causes a
   change in the tariffs, it is necessary to account for resource
   consumed in the first and second areas.  Another example is where
   modifications are allowed to an ongoing session.  For example, it is
   possible that a session could be re-authorized with improved QoS.
   This would require production of accounting records at both QoS
   levels.

   These examples could be addressed by using vectors or multi-
   dimensional arrays to represent resource consumption within a single
   session record.  For example, the vector or array could describe the
   resource consumption for each combination of factors, e.g. one data
   item could be the number of packets during peak hour in the area of
   the home operator.  However, such an approach seems complicated and
   inflexible and as a result, most current systems produce a set of
   records from one session.  A session identifier needs to be present
   in the records to permit accounting systems to tie the records
   together.

   In most cases, the network device will determine when multiple
   session records are needed, as the local device is aware of factors
   affecting local tariffs, such as QoS changes and roaming.  However,
   future systems are being designed that enable the home domain to



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   control the generation of accounting records.  This is of importance
   in inter-domain accounting or when network devices do not have tariff
   information.  The centralized control of accounting record production
   can be realized, for instance, by having authorization servers
   require re-authorization at certain times and requiring the
   production of accounting records upon each re-authorization.

   In conclusion, in some cases it is necessary to produce multiple
   accounting records from a single session.  It must be possible to do
   this without requiring the user to start a new session or to re-
   authenticate.  The production of multiple records can be controlled
   either by the network device or by the AAA server.  The requirements
   for timeliness, security and reliability in multiple record sessions
   are the same as for single-record sessions.





































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1.7.  Requirements summary

   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 |                     |                   |
   |  Usage          |   Intra-domain      | Inter-domain      |
   |                 |                     |                   |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 | Robustness vs.      | Robustness vs.    |
   |                 | packet loss         | packet loss       |
   |  Capacity       |                     |                   |
   |  Planning       | Integrity,          | Integrity,        |
   |                 | authentication,     | authentication,   |
   |                 | replay protection   | replay prot.      |
   |                 | [confidentiality]   | confidentiality   |
   |                 |                     | [data object sec.]|
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |  Non-usage      | Integrity,          | Integrity,        |
   |  Sensitive      | authentication,     | authentication,   |
   |  Billing        | replay protection   | replay protection |
   |                 | [confidentiality]   | confidentiality   |
   |                 |                     | [data object sec.]|
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 | Archival            | Archival          |
   |  Usage          | accounting          | accounting        |
   |  Sensitive      | Integrity,          | Integrity,        |
   |  Billing,       | authentication,     | authentication,   |
   |  Cost           | replay protection   | replay prot.      |
   |  Allocation &   | [confidentiality]   | confidentiality   |
   |  Auditing       | [Bounds on          | [data object sec.]|
   |                 |  processing delay]  | [Bounds on        |
   |                 |                     | processing delay] |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 | Archival            | Archival          |
   |  Time           | accounting          | accounting        |
   |  Sensitive      | Integrity,          | Integrity,        |
   |  Billing,       | authentication,     | authentication,   |
   |  fraud          | replay protection   | replay prot.      |
   |  detection,     | [confidentiality]   | confidentiality   |
   |  roaming        |                     | [Data object      |
   |                 | Bounds on           |  security and     |
   |                 |  processing delay   |  receipt support] |
   |                 |                     | Bounds on         |
   |                 |                     |  processing delay |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+

   Key
   [] = optional




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2.  Scaling and reliability

   With the continuing growth of the Internet, it is important that
   accounting management systems be scalable and reliable.  This section
   discusses the resources consumed by accounting management systems as
   well as the scalability and reliability properties exhibited by
   various data collection and transport models.

2.1.  Fault resilience

   As noted earlier, in applications such as usage-sensitive billing,
   cost allocation and auditing, an archival approach to accounting is
   frequently mandated, due to financial and legal requirements.  Since
   in such situations loss of accounting data can translate to revenue
   loss, there is incentive to engineer a high degree of fault
   resilience.  Faults which may be encountered include:

      Packet loss
      Accounting server failures
      Network failures
      Device reboots

   To date, much of the debate on accounting reliability has focused on
   resilience against packet loss and the differences between UDP, SCTP
   and TCP-based transport.  However, it should be understood that
   resilience against packet loss is only  one aspect of meeting
   archival accounting requirements.

   As noted in [18], "once the cable is cut you don't need more
   retransmissions, you need a *lot* more voltage."  Thus, the choice of
   transport has no impact on resilience against faults such as network
   partition, accounting server failures or device reboots.  What does
   provide resilience against these faults is non-volatile storage.

   The importance of non-volatile storage in design of reliable
   accounting systems cannot be over-emphasized.  Without non-volatile
   storage, event-driven systems will lose data once the transmission
   timeout has been exceeded, and batching designs will experience data
   loss once the internal memory used for accounting data storage has
   been exceeded.  Via use of non-volatile storage, and internally
   stored interim records, most of these data losses can be avoided.

   It may even be argued that non-volatile storage is more important to
   accounting reliability than network connectivity, since for many
   years reliable accounting systems were implemented based solely on
   physical storage, without any network connectivity.  For example,





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   phone usage data used to be stored on paper, film, or magnetic media
   and carried from the place of collection to a central location for
   bill processing.

2.1.1.  Interim accounting

   Interim accounting provides protection against loss of session
   summary data by providing checkpoint information that can be used to
   reconstruct the session record in the event that the session summary
   information is lost.  This technique may be applied to any data
   collection model (i.e. event-driven or polling) and is supported in
   both RADIUS [25] and in TACACS+.

   While interim accounting can provide resilience against packet loss,
   server failures, short-duration network failures, or device reboot,
   its applicability is limited.  Transmission of interim accounting
   data over the wire should not be thought of as a mainstream
   reliability improvement technique since it increases use of network
   bandwidth in normal operation, while providing benefits only in the
   event of a fault.

   Since most packet loss on the Internet is due to congestion, sending
   interim accounting data over the wire can make the problem worse by
   increasing bandwidth usage.  Therefore on-the-wire interim accounting
   is best restricted to high-value accounting data such as information
   on long-lived sessions.  To protect against loss of data on such
   sessions, the interim reporting interval is typically set several
   standard deviations larger than the average session duration.  This
   ensures that most sessions will not result in generation of interim
   accounting events and the additional bandwidth consumed by interim
   accounting will be limited.  However, as the interim accounting
   interval decreases toward the average session time, the additional
   bandwidth consumed by interim accounting increases markedly, and as a
   result, the interval must be set with caution.

   Where non-volatile storage is unavailable, interim accounting can
   also result in excessive consumption of memory that could be better
   allocated to storage of session data.  As a result, implementors
   should be careful to ensure that new interim accounting data
   overwrites previous data rather than accumulating additional interim
   records in memory, thereby worsening the buffer exhaustion problem.

   Given the increasing popularity of non-volatile storage for use in
   consumer devices such as digital cameras, such devices are rapidly
   declining in price.  This makes it increasingly feasible for network
   devices to include built-in support for non-volatile storage.  This
   can be accomplished, for example, by support for compact PCMCIA
   cards.



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   Where non-volatile storage is available, this can be used to store
   interim accounting data.  Stored interim events are then replaced by
   updated interim events or by session data when the session completes.
   The session data can itself be erased once the data has been
   transmitted and acknowledged at the application layer.  This approach
   avoids interim data being transmitted over the wire except in the
   case of a device reboot.  When a device reboots, internally stored
   interim records are transferred to the accounting server.

2.1.2.  Multiple record sessions

   Generation of multiple accounting records within a session can
   introduce scalability problems that cannot be controlled using the
   techniques available in interim accounting.

   For example, in the case of interim records kept in non-volatile
   storage, it is possible to overwrite previous interim records with
   the most recent one or summarize them to a session record.  Where
   interim updates are sent over the wire, it is possible to control
   bandwidth usage by adjusting the interim accounting interval.

   These measures are not applicable where multiple session records are
   produced from a single session, since these records cannot be
   summarized or overwritten without loss of information.  As a result,
   multiple record production can result in increased consumption of
   bandwidth and memory.  Implementors should be careful to ensure that
   worst-case multiple record processing requirements do not exceed the
   capabilities of their systems.

   As an example, a tariff change at a particular time of day could, if
   implemented carelessly, create a sudden peak in the consumption of
   memory and bandwidth as the records need to be stored and/or
   transported.  Rather than attempting to send all of the records at
   once, it may be desirable to keep them in non-volatile storage and
   send all of the related records together in a batch when the session
   completes.  It may also be desirable to shape the accounting traffic
   flow so as to reduce the peak bandwidth consumption.  This can be
   accomplished by introduction of a randomized delay interval.  If the
   home domain can also control the generation of multiple accounting
   records, the estimation of the worst-case processing requirements can
   be very difficult.

2.1.3.  Packet loss

   As packet loss is a fact of life on the Internet, accounting
   protocols dealing with session data need to be resilient against
   packet loss.  This is particularly important in inter-domain
   accounting, where packets often pass through Network Access Points



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   (NAPs) where packet loss may be substantial.  Resilience against
   packet loss can be accomplished via implementation of a retry
   mechanism on top of UDP, or use of TCP [7] or SCTP [26].  On-the-wire
   interim accounting provides only limited benefits in mitigating the
   effects of packet loss.

   UDP-based transport is frequently used in accounting applications.
   However, this is not appropriate in all cases.  Where accounting data
   will not fit within a single UDP packet without fragmentation, use of
   TCP or SCTP transport may be preferred to use of multiple round-trips
   in UDP.  As noted in [47] and [49], this may be an issue in the
   retrieval of large tables.

   In addition, in cases where congestion is likely, such as in inter-
   domain accounting, TCP or SCTP congestion control and round-trip time
   estimation will be very useful, optimizing throughput.  In
   applications which require maintenance of session state, such as
   simultaneous usage control, TCP and application-layer keep alive
   packets or SCTP with its built-in heartbeat capabilities provide a
   mechanism for keeping track of session state.

   When implementing UDP retransmission, there are a number of issues to
   keep in mind:

      Data model
      Retry behavior
      Congestion control
      Timeout behavior

   Accounting reliability can be influenced by how the data is modeled.
   For example, it is almost always preferable to use cumulative
   variables rather than expressing accounting data in terms of a change
   from a previous data item.  With cumulative data, the current state
   can be recovered by a successful retrieval, even after many packets
   have been lost.  However, if the data is transmitted as a change then
   the state will not be recovered until the next cumulative update is
   sent.  Thus, such implementations are much more vulnerable to packet
   loss, and should be avoided wherever possible.

   In designing a UDP retry mechanism, it is important that the retry
   timers relate to the round-trip time, so that retransmissions will
   not typically occur within the period in which acknowledgments may be
   expected to arrive.  Accounting bandwidth may be significant in some
   circumstances, so that the added traffic due to unnecessary
   retransmissions may increase congestion levels.






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   Congestion control in accounting data transfer is a somewhat
   controversial issue.  Since accounting traffic is often considered
   mission-critical, it has been argued that congestion control is not a
   requirement; better to let other less-critical traffic back off in
   response to congestion.  Moreover, without non-volatile storage,
   congestive back-off in accounting applications can result in data
   loss due to buffer exhaustion.

   However, it can also be argued that in modern accounting
   implementations, it is possible to implement congestion control while
   improving throughput and maintaining high reliability.  In
   circumstances where there is sustained packet loss, there simply is
   not sufficient capacity to maintain existing transmission rates.
   Thus, aggregate throughput will actually improve if congestive back-
   off is implemented.  This is due to elimination of retransmissions
   and the ability to utilize techniques such as RED to desynchronize
   flows.  In addition, with QoS mechanisms such as differentiated
   services, it is possible to mark accounting packets for preferential
   handling so as to provide for lower packet loss if desired.  Thus
   considerable leeway is available to the network administrator in
   controlling the treatment of accounting packets and hard coding
   inelastic behavior is unnecessary.  Typically, systems implementing
   non-volatile storage allow for backlogged accounting data to be
   placed in non-volatile storage pending transmission, so that buffer
   exhaustion resulting from congestive back-off need not be a concern.

   Since UDP is not really a transport protocol, UDP-based accounting
   protocols such as [4] often do not prescribe timeout behavior.  Thus
   implementations may exhibit widely different behavior.  For example,
   one implementation may drop accounting data after three constant
   duration retries to the same server, while another may implement
   exponential back-off to a given server, then switch to another
   server, up to a total timeout interval of twelve hours, while storing
   the untransmitted data on non-volatile storage.  The practical
   difference between these approaches is substantial; the former
   approach will not satisfy archival accounting requirements while the
   latter may.  More predictable behavior can be achieved via use of
   SCTP or TCP transport.

2.1.4.  Accounting server failover

   In the event of a failure of the primary accounting server, it is
   desirable for the device to failover to a secondary server.
   Providing one or more secondary servers can remove much of the risk
   of accounting server failure, and as a result use of secondary
   servers has become commonplace.





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   For protocols based on TCP, it is possible for the device to maintain
   connections to both the primary and secondary accounting servers,
   using the secondary connection after expiration of a timer on the
   primary connection.  Alternatively,  it is possible to open a
   connection to the secondary accounting server after a timeout or loss
   of the primary connection, or on  expiration of a timer.  Thus,
   accounting protocols based on TCP are capable of responding more
   rapidly to connectivity failures than TCP timeouts would otherwise
   allow, at the expense of an increased risk of duplicates.

   With SCTP, it is possible to control transport layer timeout
   behavior, and therefore it is not necessary for the accounting
   application to maintain its own timers.  SCTP also enables
   multiplexing of multiple connections within a single transport
   connection, all maintaining the same congestion control state,
   avoiding the "head of line blocking" issues that can occur with TCP.
   However, since SCTP is not widely available, use of this transport
   can impose an additional implementation burden on the designer.

   For protocols using UDP, transmission to the secondary  server can
   occur after a number of retries or timer expiration.  For
   compatibility with congestion avoidance, it is advisable to
   incorporate techniques such as round-trip-time estimation, slow start
   and congestive back-off.  Thus the accounting protocol designer
   utilizing UDP often is lead to re-inventing techniques already
   existing in TCP and SCTP.  As a result, the use of raw UDP transport
   in accounting applications is not recommended.

   With any transport it is possible for the primary and secondary
   accounting servers to receive duplicate packets, so support for
   duplicate elimination is required.  Since accounting server failures
   can result in data accumulation on accounting clients, use of non-
   volatile storage can ensure against data loss due to transmission
   timeouts or buffer exhaustion.  On-the-wire interim accounting
   provides only limited benefits in mitigating the effects of
   accounting server failures.

2.1.5.  Application layer acknowledgments

   It is possible for the accounting server to experience partial
   failures.  For example, a failure in the database back end could
   leave the accounting retrieval process or thread operable while the
   process or thread responsible for storing the data is non-functional.
   Similarly, it is possible for the accounting application to run out
   of disk space, making it unable to continue storing incoming session
   records.





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   In such cases it is desirable to distinguish between transport layer
   acknowledgment and application layer acknowledgment.  Even though
   both acknowledgments may be sent within the same packet (such as a
   TCP segment carrying an application layer acknowledgment along with a
   piggy-backed ACK), the semantics are different.  A transport-layer
   acknowledgment means "the transport layer has taken responsibility
   for delivering the data to the application", while an application-
   layer acknowledgment means "the application has taken responsibility
   for the data".

   A common misconception is that use of TCP transport guarantees that
   data is delivered to the application.  However, as noted in RFC 793
   [7]:

    An acknowledgment by TCP does not guarantee that the data has been
    delivered to the end user, but only that the receiving TCP has taken
    the responsibility to do so.

   Therefore, if receiving TCP fails after sending the ACK, the
   application may not receive the data.  Similarly, if the application
   fails prior to committing the data to stable storage, the data may be
   lost.  In order for a sending application to be sure that the data it
   sent was received by the receiving application, either a graceful
   close of the TCP connection or an application-layer acknowledgment is
   required. In order to protect against data loss, it is necessary that
   the application-layer acknowledgment imply that the data has been
   written to stable storage or suitably processed so as to guard
   against loss.

   In the case of partial failures, it is possible for the transport
   layer to acknowledge receipt via transport layer acknowledgment,
   without having delivered the data to the application.  Similarly, the
   application may not complete the tasks necessary to take
   responsibility for the data.

   For example, an accounting server may receive data from the transport
   layer but be incapable of storing it data due to a back end database
   problem or disk fault.  In this case it should not send an
   application layer acknowledgment, even though a a transport layer
   acknowledgment is appropriate.  Rather, an application layer error
   message should be sent indicating the source of the problem, such as
   "Backend store unavailable".

   Thus application-layer acknowledgment capability requires not only
   the ability to acknowledge when the application has taken
   responsibility for the data, but also the ability to indicate when
   the application has not taken responsibility for the data, and why.




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2.1.6.  Network failures

   Network failures may result in partial or complete loss of
   connectivity for the accounting client.  In the event of partial
   connectivity loss, it may not be possible to reach the primary
   accounting server, in which case switch over to the secondary
   accounting server is necessary.  In the event of a network partition,
   it may be necessary to store accounting events in device memory or
   non-volatile storage until connectivity can be re-established.

   As with accounting server failures, on-the-wire interim accounting
   provides only limited benefits in mitigating the effects of network
   failures.

2.1.7.  Device reboots

   In the event of a device reboot, it is desirable to minimize the loss
   of data on sessions in progress.  Such losses may be significant even
   if the devices themselves are very reliable, due to long-lived
   sessions, which can comprise a significant fraction of total resource
   consumption.  To guard against loss of these high-value sessions,
   interim accounting data is typically transmitted over the wire.  When
   interim accounting in-place is combined with non-volatile storage it
   becomes possible to guard against data loss in much shorter sessions.
   This is possible since interim accounting data need only be stored in
   non-volatile memory until the session completes, at which time the
   interim data may be replaced by the session record.  As a result,
   interim accounting data need never be sent over the wire, and it is
   possible to decrease the interim interval so as to provide a very
   high degree of protection against data loss.

2.1.8.  Accounting proxies

   In order to maintain high reliability, it is important that
   accounting proxies pass through transport and application layer
   acknowledgments and do not store and forward accounting packets.
   This enables the end-systems to control re-transmission behavior and
   utilize techniques such as non-volatile storage and secondary servers
   to improve resilience.

   Accounting proxies sending a transport or application layer ACK to
   the device without receiving one from the accounting server fool the
   device into thinking that the accounting request had been accepted by
   the accounting server when this is not the case.  As a result, the
   device can delete the accounting packet from non-volatile storage
   before it has been accepted by the accounting server.  The leaves the





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   accounting proxy responsible for delivering accounting packets.  If
   the accounting proxy involves moving parts (e.g. a disk drive) while
   the devices do not, overall system reliability can be reduced.

   Store and forward accounting proxies only add value in situations
   where the accounting subsystem is unreliable.  For example, where
   devices do not implement non-volatile storage and the accounting
   protocol lacks transport and application layer reliability, locating
   the accounting proxy (with its stable storage) close to the device
   can reduce the risk of data loss.

   However, such systems are inherently unreliable so that they are only
   appropriate for use in capacity planning or non-usage sensitive
   billing applications.  If archival accounting reliability is desired,
   it is necessary to engineer a reliable accounting system from the
   start using the techniques described in this document, rather than
   attempting to patch an inherently unreliable system by adding store
   and forward accounting proxies.

































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2.1.9.  Fault resilience summary

   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 |                                       |
   |  Fault          |   Counter-measures                    |
   |                 |                                       |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 |                                       |
   |  Packet         |   Retransmission based on RTT         |
   |  loss           |   Congestion control                  |
   |                 |   Well-defined timeout behavior       |
   |                 |   Duplicate elimination               |
   |                 |   Interim accounting*                 |
   |                 |   Non-volatile storage                |
   |                 |   Cumulative variables                |
   |                 |                                       |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 |                                       |
   |  Accounting     |   Primary-secondary servers           |
   |  server & net   |   Duplicate elimination               |
   |  failures       |   Interim accounting*                 |
   |                 |   Application layer ACK & error msgs. |
   |                 |   Non-volatile storage                |
   |                 |                                       |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 |                                       |
   |  Device         |   Interim accounting*                 |
   |  reboots        |   Non-volatile storage                |
   |                 |                                       |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+

   Key
   * = limited usefulness without non-volatile storage

   Note: Accounting proxies are not a reliability
   enhancement mechanism.

2.2.  Resource consumption

   In the process of growing to meet the needs of providers and
   customers, accounting management systems consume a variety of
   resources, including:

      Network bandwidth
      Memory
      Non-volatile storage
      State on the accounting management system
      CPU on the management system and managed devices



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   In order to understand the limits to scaling, we examine each of
   these resources in turn.

2.2.1.  Network bandwidth

   Accounting management systems consume network bandwidth in
   transferring accounting data.  The network bandwidth consumed is
   proportional to the amount of data transferred, as well as required
   network overhead.  Since accounting data for a given event may be 100
   octets or less, if each event is transferred individually, overhead
   can represent a considerable proportion of total bandwidth
   consumption.  As a result, it is often desirable to transfer
   accounting data in batches, enabling network overhead to be spread
   over a larger payload, and enabling efficient use of compression.  As
   noted in [48], compression can be enabled in the accounting protocol,
   or can be done at the IP layer as described in [5].

2.2.2.  Memory

   In accounting systems without non-volatile storage, accounting data
   must be stored in volatile memory during the period between when it
   is generated and when it is transferred.  The resulting memory
   consumption will depend on retry and retransmission algorithms.
   Since systems designed for high reliability will typically wish to
   retry for long periods, or may store interim accounting data, the
   resulting memory consumption can be considerable.  As a result, if
   non-volatile storage is unavailable, it may be desirable to compress
   accounting data awaiting transmission.

   As noted earlier, implementors of interim accounting should take care
   to ensure against excessive memory usage by overwriting older interim
   accounting data with newer data for the same session rather than
   accumulating interim data in the buffer.

2.2.3.  Non-volatile storage

   Since accounting data stored in memory will typically be lost in the
   event of a device reboot or a timeout, it may be desirable to provide
   non-volatile storage for undelivered accounting data.  With the costs
   of non-volatile storage declining rapidly, network devices will be
   increasingly capable of incorporating non-volatile storage support
   over the next few years.

   Non-volatile storage may be used to store interim or session records.
   As with memory utilization, interim accounting overwrite is desirable
   so as to prevent excessive storage consumption.  Note that the use of
   ASCII data representation enables use of highly efficient text
   compression algorithms that can minimize storage requirements.  Such



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   compression algorithms are only typically applied to session records
   so as to enable implementation of interim data overwrite.

2.2.4.  State on the accounting management system

   In order to keep track of received accounting data, accounting
   management systems may need to keep state on managed devices or
   concurrent sessions.  Since the number of devices is typically much
   smaller than the number of concurrent sessions, it is desirable to
   keep only per-device state if possible.

2.2.5.  CPU requirements

   CPU consumption of the managed and managing nodes will be
   proportional to the complexity of the required accounting processing.
   Operations such as ASN.1 encoding and decoding,
   compression/decompression, and encryption/decryption can consume
   considerable resources, both on accounting clients and servers.

   The effect of these operations on accounting system reliability
   should not be under-estimated, particularly in the case of devices
   with moderate CPU resources.  In the event that devices are over-
   taxed by accounting tasks, it is likely that overall device
   reliability will suffer.



























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2.2.6.  Efficiency measures

   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 |                                       |
   |  Resource       |   Efficiency measures                 |
   |                 |                                       |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 |                                       |
   |  Network        |   Batching                            |
   |  Bandwidth      |   Compression                         |
   |                 |                                       |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 |                                       |
   |  Memory         |   Compression                         |
   |                 |   Interim accounting overwrite        |
   |                 |                                       |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 |                                       |
   |  Non-volatile   |   Compression                         |
   |  Storage        |   Interim accounting overwrite        |
   |                 |                                       |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 |                                       |
   |  System         |   Per-device state                    |
   |  state          |                                       |
   |                 |                                       |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 |                                       |
   |  CPU            |   Hardware assisted                   |
   |  requirements   |     compression/encryption            |
   |                 |                                       |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+

2.3. Data collection models

   Several data collection models are currently in use today for the
   purposes of accounting data collection.  These include:

      Polling model
      Event-driven model without batching
      Event-driven model with batching
      Event-driven polling model









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2.3.1.  Polling model

   In the polling model, an accounting manager will poll devices for
   accounting information at regular intervals.  In order to ensure
   against loss of data, the polling interval will need to be shorter
   than the maximum time that accounting data can be stored on the
   polled device.  For devices without non-volatile stage, this is
   typically determined by available memory; for devices with non-
   volatile storage the maximum polling interval is determined by the
   size of non-volatile storage.

   The polling model results in an accumulation of data within
   individual devices, and as a result, data is typically transferred to
   the accounting manager in a batch, resulting in an efficient transfer
   process.  In terms of Accounting Manager state, polling systems scale
   with the number of managed devices, and system bandwidth usage scales
   with the amount of data transferred.

   Without non-volatile storage, the polling model results in loss of
   accounting data due to device reboots, but not due to packet loss or
   network failures of sufficiently short duration to be handled within
   available memory.  This is because the Accounting Manager will
   continue to poll until the data is received.  In situations where
   operational difficulties are encountered, the volume of accounting
   data will frequently increase so as to make data loss more likely.
   However, in this case the polling model will detect the problem since
   attempts to reach the managed devices will fail.

   The polling model scales poorly for implementation of shared use or
   roaming services, including wireless data, Internet telephony, QoS
   provisioning or Internet access.  This is because in order to
   retrieve accounting data for users within a given domain, the
   Accounting Management station would need to periodically poll all
   devices in all domains, most of which would not contain any relevant
   data.  There are also issues with processing delay, since use of a
   polling interval also implies an average processing delay of half the
   polling interval.  This may be too high for accounting data that
   requires low processing delay.  Thus the event-driven polling or the
   pure event-driven approach is more appropriate for usage sensitive
   billing applications such as shared use or roaming implementations.

   Per-device state is typical of polling-based network management
   systems, which often also carry out accounting management functions,
   since network management systems need to  keep track of the state of
   network devices for operational purposes.  These systems offer
   average processing delays equal to half the polling interval.





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2.3.2.  Event-driven model without batching

   In the event-driven model, a device will contact the accounting
   server or manager when it is ready to transfer accounting data.  Most
   event-driven accounting systems, such as those based on RADIUS
   accounting, described in [4], transfer only one accounting event per
   packet, which is inefficient.

   Without non-volatile storage, a pure event-driven model typically
   stores accounting events that have not yet been delivered only until
   the timeout interval expires.  As a result this model has the
   smallest memory requirements.  Once the timeout interval has expired,
   the accounting event is lost, even if the device has sufficient
   buffer space to continue to store it.  As a result, the event-driven
   model is the least reliable, since accounting data loss will occur
   due to device reboots, sustained packet loss, or network failures of
   duration greater than the timeout interval.  In event-driven
   protocols without a "keep alive" message, accounting servers cannot
   assume a device failure should no messages arrive for an extended
   period.  Thus, event-driven accounting systems are typically not
   useful in monitoring of device health.

   The event-driven model is frequently used in shared use networks and
   roaming, since this model sends data to the recipient domains without
   requiring them to poll a large number of devices, most of which have
   no relevant data.  Since the event-driven model typically does not
   support batching, it permits accounting records to be sent with low
   processing delay, enabling application of fraud prevention
   techniques.  However, because roaming accounting events are
   frequently of high value, the poor reliability of this model is an
   issue.  As a result, the event-driven polling model may be more
   appropriate.

   Per-session state is typical of event-driven systems without
   batching.  As a result, the event-driven approach scales poorly.
   However, event-driven systems offer the lowest processing delay since
   events are processed immediately and there is no possibility of an
   event requiring low processing delay being caught behind a batch
   transfer.

2.3.3.  Event-driven model with batching

   In the event-driven model with batching, a device will contact the
   accounting server or manager when it is ready to transfer accounting
   data.  The device can contact the server when a batch of a given size
   has been gathered, when data of a certain type is available or after
   a minimum time period has elapsed.  Such systems can transfer more
   than one accounting event per packet and are thus more efficient.



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   An event-driven system with batching will store accounting events
   that have not yet been delivered up to the limits of memory.  As a
   result, accounting data loss will occur due to device reboots, but
   not due to packet loss or network failures of sufficiently short
   duration to be handled within available memory.  Note that while
   transfer efficiency will increase with batch size, without non-
   volatile storage, the potential data loss from a device reboot will
   also increase.

   Where event-driven systems with batching have a keep-alive interval
   and run over reliable transport, the accounting server can assume
   that a failure has occurred if no messages are received within the
   keep-alive interval.  Thus, such implementations can be useful in
   monitoring of device health.  When used for this purpose the average
   time delay prior to failure detection is one half the keep-alive
   interval.

   Through implementation of a scheduling algorithm, event-driven
   systems with batching can deliver appropriate service to accounting
   events that require low processing delay.  For example, high-value
   inter-domain accounting events could be sent immediately, thus
   enabling use of fraud-prevention techniques, while all other events
   would be batched.  However, there is a possibility that an event
   requiring low processing delay will be caught behind a batch transfer
   in progress.  Thus the maximum processing delay is proportional to
   the maximum batch size divided by the link speed.

   Event-driven systems with batching scale with the number of active
   devices.  As a result this approach scales better than the pure
   event-driven approach, or even the polling approach, and is
   equivalent in terms of scaling to the event-driven polling approach.
   However, the event-driven batching approach has lower processing
   delay than the event-driven polling approach, since delivery of
   accounting data requires fewer round-trips and events requiring low
   processing delay can be accommodated if a scheduling algorithm is
   employed.

2.3.4.  Event-driven polling model

   In the event-driven polling model an accounting manager will poll the
   device for accounting data only when it receives an event.  The
   accounting client can generate an event when a batch of a given size
   has been gathered, when data of a certain type is available or after
   a minimum time period has elapsed.  Note that while transfer
   efficiency will increase with batch size, without non-volatile
   storage, the potential data loss from a device reboot will also
   increase.




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   Without non-volatile storage, an event-driven polling model will lose
   data due to device reboots, but not due to packet loss, or network
   partitions of short-duration.  Unless a minimum delivery interval is
   set, event-driven polling systems are not useful in monitoring of
   device health.

   The event-driven polling model can be suitable for use in roaming
   since it permits accounting data to be sent to the roaming partners
   with low processing delay.  At the same time non-roaming accounting
   can be handled via more efficient polling techniques, thereby
   providing the best of both worlds.

   Where batching can be implemented, the state required in event-driven
   polling can be reduced to scale with the number of active devices.
   If portions of the network vary widely in usage, then this state may
   actually be less than that of the polling approach.  Note that
   processing delay in this approach is higher than in event-driven
   accounting with batching since at least two round-trips are required
   to deliver data: one for the event notification, and one for the
   resulting poll.































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2.3.5.  Data collection summary

   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 |                   |                   |
   |     Model       |       Pros        |      Cons         |
   |                 |                   |                   |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |  Polling        | Per-device state  | Not robust        |
   |                 | Robust against    |  against device   |
   |                 |   packet loss     |  reboot, server   |
   |                 | Batch transfers   |  or network       |
   |                 |                   |  failures*        |
   |                 |                   | Polling interval  |
   |                 |                   |  determined by    |
   |                 |                   |  storage limit    |
   |                 |                   | High processing   |
   |                 |                   |  delay            |
   |                 |                   | Unsuitable for    |
   |                 |                   |  use in roaming   |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |  Event-driven,  | Lowest processing | Not robust        |
   |   no batching   |  delay            |  against packet   |
   |                 | Suitable for      |  loss, device     |
   |                 |  use in roaming   |  reboot, or       |
   |                 |                   |  network          |
   |                 |                   |  failures*        |
   |                 |                   | Low efficiency    |
   |                 |                   | Per-session state |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |  Event-driven,  | Single round-trip | Not robust        |
   |   with batching |  latency          |  against device   |
   |      and        | Batch transfers   |  reboot, network  |
   |   scheduling    | Suitable for      |  failures*        |
   |                 |  use in roaming   |                   |
   |                 | Per active device |                   |
   |                 |  state            |                   |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |  Event-driven   | Batch transfers   | Not robust        |
   |   polling       | Suitable for      |  against device   |
   |                 |  use in roaming   |  reboot, network  |
   |                 | Per active device |  failures*        |
   |                 |  state            | Two round-trip    |
   |                 |                   |  latency          |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+

   Key
   * = addressed by non-volatile storage




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3.  Review of Accounting Protocols

   Accounting systems have been successfully implemented using protocols
   such as RADIUS, TACACS+, and SNMP.  This section describes the
   characteristics of each of these protocols.

3.1.  RADIUS

   RADIUS accounting, described in [4], was developed as an add-on to
   the RADIUS authentication protocol, described in [3].  As a result,
   RADIUS accounting shares the event-driven approach of RADIUS
   authentication, without support for batching or polling.  As a
   result, RADIUS accounting scales with the number of accounting events
   instead of the number of devices, and accounting transfers are
   inefficient.

   Since RADIUS accounting is based on UDP and timeout and retry
   parameters are not specified, implementations vary widely in their
   approach to reliability, with some implementations retrying until
   delivery or buffer exhaustion, and others losing accounting data
   after a few retries.  Since RADIUS accounting does not provide for
   application-layer acknowledgments or error messages, a RADIUS
   Accounting-Response is equivalent to a transport-layer acknowledgment
   and provides no protection against application layer malfunctions.
   Due to the lack of reliability, it is not possible to do simultaneous
   usage control based on RADIUS accounting alone.  Typically another
   device data source is required, such as polling of a session MIB or a
   command-line session over telnet.

   RADIUS accounting implementations are vulnerable to packet loss as
   well as application layer failures, network failures and device
   reboots.  These deficiencies are magnified in inter-domain accounting
   as is required in roaming ([1],[2]).  On the other hand, the event-
   driven approach of RADIUS accounting is useful where low processing
   delay is required, such as credit risk management or fraud detection.

   While RADIUS accounting does provide hop-by-hop authentication and
   integrity protection, and IPSEC can be employed to provide hop-by-hop
   confidentiality, data object security is not supported, and thus
   systems based on RADIUS accounting are not capable of being deployed
   with untrusted proxies, or in situations requiring auditability, as
   noted in [2].

   While RADIUS does not support compression, IP compression, described
   in [5], can be employed to provide this.  While in principle
   extensible with the definition of new attributes, RADIUS suffers from
   the very small standard attribute space (256 attributes).




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3.2.  TACACS+

   TACACS+ offers an accounting model with start, stop, and interim
   update messages.  Since TACACS+ is based on TCP, implementations are
   typically resilient against packet loss and short-lived network
   partitions, and TACACS+ scales with the number of devices.  Since
   TACACS+ runs over TCP, it offers support for both transport layer and
   application layer acknowledgments, and is suitable for simultaneous
   usage control and handling of accounting events that require moderate
   though not the lowest processing delay.

   TACACS+ provides for hop-by-hop authentication and integrity
   protection as well as hop-by-hop confidentiality.  Data object
   security is not supported, and therefore systems based on TACACS+
   accounting are not deployable in the presence of untrusted proxies.
   While TACACS+ does not support compression, IP compression, described
   in [5], can be employed to provide this.

3.3.  SNMP

   SNMP, described in [19],[27]-[41], has been widely deployed in a wide
   variety of intra-domain accounting applications, typically using the
   polling data collection model.  Polling allows data to be collected
   on multiple accounting events simultaneously, resulting in per-device
   state.  Management applications are able to retry requests when a
   response is not received, providing resiliency against packet loss or
   even short-lived network partitions.  Implementations without non-
   volatile storage are not robust against device reboots or network
   failures, but when combined with non-volatile storage they can be
   made highly reliable.

   SMIv1, the data modeling language of SNMPv1, has traps to permit
   trap-directed polling, but the traps are not acknowledged, and lost
   traps can lead to a loss of data.  SMIv2, used by SNMPv2c and SNMPv3,
   has Inform Requests which are acknowledged notifications.  This makes
   it possible to implement a more reliable event-driven polling model
   or event-driven batching model.  However, we are not aware of any
   SNMP-based accounting implementations currently built on the use of
   Informs.

3.3.1.  Security services

   SNMPv1 and SNMPv2c support per-packet authentication and read-only
   and read-write access profiles, via the community string.  This
   clear-text password approach provides only trivial authentication,
   and no per-packet integrity checks, replay protection or
   confidentiality.  View-based access control [40] can be supported
   using the snmpCommunityMIB, defined in [11], and SNMPv1 or SNMPv2c



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   messages.  The updated SNMP architecture [rfc2571] supports per-
   packet hop-by-hop authentication, integrity and replay protection,
   confidentiality and access control.

   The SNMP User Security Model (USM) [38] uses shared secrets, and when
   the product of the number of domains and devices is large, such as in
   inter-domain accounting applications, the number of shared secrets
   can get out of hand.  The localized key capability in USM allows a
   manager to have one central key, sharing it with many SNMP entities
   in a localized way while preventing the other entities from getting
   at each other's data.  This can assist in cross-domain security if
   deployed properly.

   SNMPv3 does not support end-to-end data object integrity and
   confidentiality; SNMP proxy entities decrypt and re-encrypt the data
   they forward.  In the presence of an untrusted proxy entity, this
   would be inadequate.

3.3.2.  Application layer acknowledgments

   SNMP uses application-layer acknowledgment to indicate that data has
   been processed.  SNMP Responses to get, get-next, or get-bulk
   requests return the requested data, or an error code indicating the
   nature of the error encountered.

   A noError SNMP Response to a SET command indicates that the requested
   assignments were made by the application.  SNMP SETs are atomic; the
   command either succeeds or fails.  An error-response indicates that
   the entity received the request, but did not succeed in executing it.

   Notifications do not use acknowledgements to indicate that data has
   been processed.  The Inform notification returns an acknowledgement
   of receipt, but not of processing, by design.  Since the updated SNMP
   architecture treats entities as peers with varying levels of
   functionality, it is possible to use SETs in either direction between
   cooperating entities to achieve processing acknowledgements.

   There are eighteen SNMP error codes.  The design of SNMP makes
   service-specific error codes unnecessary and undesirable.

3.3.3.  Proxy forwarders

   In the accounting management architecture, proxy forwarders play an
   important role, forwarding intra and inter-domain accounting events
   to the correct destinations.  The proxy forwarder may also play a
   role in a polling or event-driven polling architecture.





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   The functionality of an SNMP Proxy Forwarder is defined in [39].  For
   example, the network devices may be configured to send notifications
   for all domains to the Proxy Forwarder, and the devices may be
   configured to allow the Proxy Forwarder to access all MIB data.

   The use of proxy forwarders may reduce the number of shared secrets
   required for inter-domain accounting.  With Proxy Forwarders, the
   domains could share a secret with the Proxy Forwarder, and in turn,
   the Proxy Forwarder could share a secret with each of the devices.
   Thus the number of shared secrets will scale with the sum of the
   number of devices and domains rather than the product.

   The engine of an SNMP Proxy Forwarder does not look inside the PDU of
   the message except to determine to which SNMP engine the PDU should
   be forwarded or which local SNMP application should process the PDU.
   The SNMP Proxy Forwarder does not modify the varbind values; it does
   not modify the varbind list except to translate between SNMP
   versions; and it does not provide any varbind level access control.

3.3.4.  Domain-based access controls in SNMP

   Domain-based access controls are required where multiple
   administrative domains are involved, such as in the shared use
   networks and roaming associations described in [1].  Since the same
   device may be accessed by multiple organizations, it is often
   necessary to control access to accounting data according to the
   user's organization.  This ensures that organizations may be given
   access to accounting data relating to their users, but not to data
   relating to users of other organizations.

   In order to apply domain-based access controls, in inter-domain
   accounting, it is first necessary to identify the data subset that is
   to have its access controlled.  Several conceptual abstractions are
   used for identifying subsets of data in SNMP.  These include engines,
   contexts, and views.  This section describes how this functionality
   may be applied in intra and inter-domain accounting.

3.3.4.1.  Engines

   The new SNMP architecture, described in [27], added the concept of an
   SNMP engine to improve mobility support and to identify which data
   source is being referenced.  The engine is the portion of an SNMP
   entity that constructs messages, provides security functions, and
   maps to the transport layer.  Traditional agents and traditional
   managers each contain an SNMP engine.  engineID allows an SNMP engine
   to be uniquely identified, independent of the address where it is
   attached to the network.




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   A securityEngineID field in a message identifies the engine which
   provides access to the security credentials contained in the message
   header.  A contextEngineID field in a message identifies the engine
   which provides access to the data contained in the PDU.

   The SNMPv3 message format explicitly passes both.  In SNMPv1 and
   SNMPv2c, the data origin is typically assumed to be the
   communications endpoint (SNMP agent).  SNMPv1 and SNMPv2c messages
   contain a community name; the community name and the source address
   can be mapped to an engineID via the snmpCommunityTable, described in
   [11].

3.3.4.2.  Contexts

   Contexts are used to identify subsets of objects, within the scope of
   an engine, that are tied to instrumentation.  A contextName refers to
   a particular subset within an engine.

   Contexts are commonly tied to hardware components, to logical
   entities related to the hardware components, or to logical services.
   For example, contextNames might include board5, board7, repeater1,
   repeater2, etc.

   An SNMP agent populates a read-only dynamic table to tell the manager
   what contexts it recognizes.  Typically contexts are defined by the
   agent rather than the manager since if the manager defined them, the
   agent would not know how to tie the contexts to the underlying
   instrumentation.  It is possible that MIB modules could be defined to
   allow a manager to assign contextNames to a logical subset of
   instrumentation.

   While each context may support instances of multiple MIB modules,
   each contextName is limited to one instance of a particular MIB
   module.  If multiple instances of a MIB module are required per
   engine, then unique contextNames must be defined (e.g. repeater1,
   repeater2).  The default context "" is used for engines which only
   support single instances of MIB modules, and it is used for MIB
   modules where it only makes sense to have one instance of that MIB
   module in an engine and that instance must be easy to locate, such as
   the system MIB or the security MIBs.

   SNMPv3 messages contain contextNames which are limited to the scope
   of the contextEngineID in the message.  SNMPv1 and SNMPv2c messages
   contain communities which can be mapped to contextNames within the
   local engine, or can be mapped to contextNames within other engines
   via the snmpCommunityTable, described in [11].





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3.3.4.3.  Views

   Views are defined in the View-based Access Control Model.  A view is
   a mask which is used to determine access to the managed objects in a
   particular context.  The view identifies which objects are visible,
   by specifying OIDs of the subtrees included and excluded.  There is
   also a mechanism to allow wildcards in the OID specification.

   For example, it is possible to define a view that includes RMON
   tables, and another view that includes only the SNMPv3 security
   related tables.  Using these views, it is possible to allow access to
   the RMON view for users Joe and Josephine (the RMON administrators),
   and access to the SNMPv3 security tables for user Adam (the SNMP
   security Administrator).

   Views can be set up with wildcards.  For a table that is indexed
   using IP addresses, Joe can be allowed access to all rows in given
   RMON tables (e.g. the RMON hostTable) that are in the subnet
   10.2.x.x, while Josephine is given access to all rows for subnet
   10.200.x.x.

   Views filter at the name level (OIDs), not at the value level, so
   defining views based on the values of non-index data is not
   supported.  In this example, were the IP address to have been used
   merely as a data item rather than an index, it would not be possible
   to utilize view-based access control to achieve the desired objective
   (delegation of administrative responsibility according to subnet).

   View-based access control is independent of message version.  It can
   be utilized by entities using SNMPv1, SNMPv2c, or SNMPv3 message
   formats.

3.3.5.  Inter-domain access-control alternatives

   As the number of network devices within the shared use or roaming
   network grows, the polling model of data collection becomes
   increasingly impractical since most devices will not carry data
   relating to the polling organization.  As a result, shared-use
   networks or roaming associations relying on SNMP-based accounting
   have generally collected data for all organizations and then sorted
   the resulting session records for delivery to each organization.
   While functional, this approach will typically result in increased
   processing delay as the number of organizations and data records
   grows.

   This issue can be addressed in SNMP using the event-driven, event-
   driven polling or event-driven batching approaches.  Traps and
   Informs permit SNMP-enabled devices to notify domains that have



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   accounting data awaiting collection.  SNMP Applications [39] defines
   a standard module for managing notifications.

   To use the event-driven approaches, the device must be able to
   determine when information is available for a domain.  Domain-
   specific data can be differentiated at the SNMP agent level through
   the use of the domain as an index, and the separation of data into
   domain-specific contexts.

3.3.5.1.  Domain as index

   View-based access control [40] allows multiple fine-grained views of
   an SNMP MIB to be assigned to specific groups of users, such that
   access rights to the included data elements depend on the identity of
   the user making the request.

   For example, all users of bigco.com which are allowed access to the
   device would be defined in the User-based security MIB module (or
   other security model MIB module).  For simplicity in administering
   access control, the users can be grouped using a vacmGroupName, e.g.
   bigco.  A view of a subset of the data objects in the MIB can be
   defined in the vacmViewFamilyTreeTable.  A vacmAccessTable pairs
   groups and views.  For messages received from users in the bigco
   group, access would only be provided to the data permitted to be
   viewed by bigco users, as defined in the view family tree.  This
   requires that each domain accessing the data be given one or more
   separate vacmGroupNames, an appropriate ViewTable be defined, and the
   vacmAccessTable be configured for each group.

   Views filter at the name (OID) level, not at the data (value) level.
   When using views to filter by domain it is necessary to use the
   domain as an index.  Standard view-based access control is not
   designed to filter based on the values on non-indexed fields.

   For example, a table of session data could be indexed by record
   number and domain, allowing a view to be defined that could restrict
   access to bigco data to the administrators of the bigco domain.

   An advantage of using domains as an index is that this technique can
   be used with SNMPv1 and SNMPv2c agents as well as with SNMPv3 agents.
   A disadvantage is that the MIB modules must be specifically designed
   for this purpose.  Since existing MIB modules rarely use the domain
   as an index, domain separation cannot be enabled within legacy MIB
   modules using this technique.

   SNMP does support a RowPointer convention that could be used to
   define a new table, indexed by domain, which holds tuples between the
   domain and existing rows of data.  This would introduce issues of



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   synchronization between tables.

3.3.5.2.  Contexts

   ContextNames can be used to differentiate multiple instances of a MIB
   module within an engine.

   Individual domains, such as bigco.com, could be mapped to logical
   contexts, such as a bigco context.  The agent would need to create
   and recognize new contexts and to know which instrumentation is
   associated with the logical context.  The agent needs to collect
   accounting data by domain and make the data accessible via distinct
   contexts, so that access control can be applied to the context to
   prevent disclosure of sensitive information to the wrong domain.  The
   VACM access control views are applied relative to the context, so an
   operation can be permitted or denied a user based on the context
   which contains the data.

   Domain separation is handled by using contextName to differentiate
   multiple virtual tables.  For example, if accounting data has been
   collected on users with the bigco.com and smallco.com domains, then a
   separate virtual instance of the accounting session record table
   would exist for each domain, and each domain would have a
   corresponding contextName.  When a get-bulk request is made with a
   contextName of bigco, then data from the virtual table in the bigco
   context, i.e.  corresponding to the bigco.com domain, would be
   returned.

   There are a number of design approaches to creating new contexts and
   associating the contexts with appropriate instrumentation, most
   notably a sub-agent approach and a manager-configured MIB approach.

   AgentX [51], which standardizes a registration protocol between sub-
   agents and master agents to simplify SNMP agent implementation,
   allows for the creation and recognition of new contextNames when a
   subagent registers to provide support for a particular MIB subtree
   range.  The sub-agent knows how to support a particular
   functionality, e.g.  instrumentation exposed via a range of MIB
   objects.  Based on values detected in the data, such as
   source=bigco.com, the sub-agent could determine that a new domain
   needed to be tracked and create the appropriate context for the
   collection of the data, plus the appropriate access control entries.
   The determination could be table-driven, using MIB configuration.

   A manager-driven approach could use a MIB module to predefine
   contextNames corresponding to the domains of interest, and to
   indicate which objects should be collected, how to differentiate to
   which domain the data should be applied based on a specified



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   condition, and what access control rules apply to the context.

   Either technique could associate existing MIB modules to domain-
   specific contexts, so domain separation can be applied to MIB modules
   not specifically designed with domain separation in mind.  Legacy
   agents would not be designed to do this, so they would need to be
   updated to support inter-domain separation and VACM access control.

   The use of contextNames for inter-domain separation represents new
   territory, so careful consideration would be needed in designing the
   MIB modules and applications to provide domain to context and context
   to instrumentation mappings, and to ensure that security is not
   weakened.

3.3.6.  Outstanding issues

   There are issues that arise when using SNMP for transfer of bulk
   data, including issues of latency, network overhead, and table
   retrieval, as discussed in [49].

   In accounting applications, management stations often must retrieve
   large tables.  Latency can be high, even with the get-bulk operation,
   because the response must fit into the largest supported packet size,
   requiring multiple round-trips.  Transfers may be serialized and the
   resulting latency will be a combination of multiple round-trip times,
   possible timeout and re-transmission delays and processing overhead,
   which may result in unacceptable performance.  Since data may change
   during the course of multiple retrievals, it can be difficult to get
   a consistent snapshot.

   For bulk transfers, SNMP network overhead can be high due to the lack
   of compression, inefficiency of BER encoding, the  transmission of
   redundant OID prefixes, and the "get-bulk overshoot problem".  In
   bulk transfer of a table, the OIDs transferred are redundant: all OID
   prefixes up to the column number are identical, as are the instance
   identifier postfixes of all entries of a single table row.  Thus it
   may be possible to reduce this redundancy by compressing the OIDs, or
   by not transferring an OID with each variable.

   The "get-bulk overshoot problem", described in reference [50], occurs
   when using the get-bulk PDU.  The problem is that the manager
   typically does not know the number of rows in the table.  As a
   result, it must either request too many rows, retrieving unneeded
   data, or too few, resulting in the need for multiple get-bulk
   requests.  Note that the "get-bulk overshoot" problem may be
   preventable on the agent side.  Reference [41] states that an agent
   can terminate the get-bulk because of "local constraints" (see items
   1 and 3 on pages 15/16 of [41]).  This could be interpreted to mean



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   that it is possible to stop at the end of a table.

3.3.6.1.  Ongoing research

   To address issues of latency and efficiency, the Network Management
   Research Group (NMRG) was formed within the Internet Research Task
   Force (IRTF).  Since the NMRG work is research and is not on the
   standards track, it should be understood that the NMRG proposals may
   never be standardized, or may change substantially during the
   standardization process.  As a result, these proposals represent
   works in progress and are not readily available for use.

   The proposals under discussion in the IRTF Network Management
   Research Group (NMRG) are described in [46].  These include an SNMP-
   over-TCP transport mapping, described in [47]; SNMP payload
   compression, described in [48]; and the addition of a "get subtree"
   PDU or the subtree retrieval MIB [50].

   The SNMP-over-TCP transport mapping may result in substantial latency
   reductions in table retrieval.  The latency reduction of an SNMP-
   over-TCP transport mapping will likely manifest itself primarily in
   the polling, event-driven polling and event-driven batching modes.

   Payload compression methods include compression of the IP packet, as
   described in [5] or compression of the SNMP payload, described in
   [48].

   Proposed improvements to table retrieval include a subtree retrieval
   MIB and the addition of a get-subtree PDU.  The subtree retrieval MIB
   [50] requires no changes to the SNMP protocol or SNMP protocol
   engine, so it can be implemented and deployed more easily than a
   change to the protocol.  The addition of a get-subtree PDU implies
   changes to the protocol and to the engines of all SNMP entities which
   would support it.  Since it may be possible to address the "get-bulk
   overshoot problem" without changes to the SNMP protocol, the
   necessity of this modification is controversial.

   Reference [49] also discusses file-based storage of SNMP data, and
   use of an FTP MIB, to enable storage of SNMP data in non-volatile
   storage, and subsequent bulk transfer via FTP.  This approach would
   require implementation of additional MIB modules as well as FTP, and
   requires separate security mechanisms such as IPSEC to provide
   authentication, replay, integrity protection and confidentiality for
   the data in transit.  The file-based transfer approach has an
   important benefit - compatibility with non-volatile storage.






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   Issues of legacy support exist with the NMRG proposals.  Devices
   which do not implement the new functionality would need to be
   accommodated.  This is especially problematic for proxy forwarders,
   which may need to act as translators between new and legacy entities.
   In these situations, the overhead of translation may offset the
   benefits of the new technologies.

3.3.6.2.  On-going security extension research

   In order to simplify key management and enable use of certificate-
   based security in SNMPv3, a Kerberos Security Model (KSM) for SNMPv3
   has been proposed in [44].  This memo is not on the standards track,
   and therefore is not yet readily available for use.

   Use of Kerberos with SNMPv3 requires storage of a key on the KDC for
   each device and domain, while dynamically generating a session key
   for conversations between domains and devices.  In terms of stored
   keys, the KSM approach scales with the sum of devices and domains; in
   terms of dynamic session keys, it scales as the product of domains
   and devices.

   As Kerberos is extended to allow initial authentication via public
   key, as described in [42], and cross-realm authentication, as
   described in [43], the KSM inherits these capabilities.  As a result,
   this approach may have potential to reduce or even eliminate the
   shared secret management problem.  However, it should also be noted
   that certificate-based authentication can strain the limits of UDP
   packet sizes supported in SNMP implementations, so that alternate
   transport mappings may be required to support this.

   An IPSEC-based security model for SNMPv3 has been discussed.
   Implementation of such a security model would require the SNMPv3
   engine to be able to retrieve the properties of the IPSEC security
   association used to protect the SNMPv3 traffic.  This would include
   the security services invoked, as well as information relating to the
   other endpoint, such as the authentication method and presented
   identity and certificate.  To date such APIs have not been widely
   implemented, and in addition, most IPSEC implementations only support
   machine certificates, which may not provide the required granularity
   of identification.  Thus, an IPSEC-based security model for SNMPv3
   would probably take several years to come to fruition.

3.3.7.  SNMP summary

   Given the wealth of existing accounting-related MIB modules, it is
   likely that SNMP will remain a popular accounting protocol for the
   foreseeable future.




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   Support for notifications makes it possible to implement the event-
   driven, event-driven polling and event-driven batching models.  This
   makes it possible to notify domains of available data rather than
   requiring them to poll for it, which is critical in shared use
   networks and roaming.

   Given the SNMPv3 security enhancements, it is desirable for SNMP-
   based intra-domain accounting implementations to upgrade to SNMPv3.
   Such an upgrade is virtually mandatory for inter-domain applications.

   In inter-domain accounting, the burden of managing SNMPv3 shared
   secrets can be reduced via the localized key capability or via
   implementation of a Proxy Forwarder.  In the long term, alternative
   security models such as the Kerberos Security Model may further
   reduce the effort required to manage security and enable streamlined
   inter-domain operation.

   SNMP-based accounting has limitations in terms of efficiency and
   latency that may make it inappropriate for use in situations
   requiring low processing delay or low overhead.  This includes usage
   sensitive billing applications where fraud detection may be required.
   These issues can be addressed via proposals under discussion in the
   IRTF Network Management Research Group (NMRG).  The experimental SNMP
   over TCP transport mapping may prove helpful at reducing latency.
   Depending on the volume of data, some form of compression may also be
   worth considering.  However, since these proposals are still in the
   research stage, and are not on the standards track, these
   capabilities are not readily available, and the specifications could
   change considerably before they reach their final form.

   SNMP supports separation of accounting data by domain, using either
   of two general approaches with the VACM access control model.  The
   domain as index approach can be used if the desired MIB module
   supports domain indexing, or it can implemented using an additional
   table.  The domain-context approach can be used in agents which
   support dynamic logical contexts and a domain-to-context and
   context-to-instrumentation mapping mechanism.  Either approach can be
   supported using SNMPv1, SNMPv2c, or SNMPv3 messages, by utilizing the
   snmpCommunitytable [11] to provide a community-to-context mapping.

4.  Review of Accounting Data Transfer

   In order for session records to be transmitted between accounting
   servers, a transfer protocol is required.  Transfer protocols in use
   today include SMTP, FTP, and HTTP.  For a review of accounting
   attributes and record formats, see [45].





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   Reference [49] contains a discussion of alternative encodings for SMI
   data types, as well as alternative protocols for transmission of
   accounting data.  For example, [49] describes how MIME tags and XML
   DTDs may be used for encoding of SNMP messages or SMI data types.
   This enables data from SNMP MIBs to be transported using any protocol
   that can encapsulate MIME or XML, including SMTP and HTTP.

4.1.  SMTP

   To date, few accounting management systems have been built on SMTP
   since the implementation of a store-and-forward message system has
   traditionally required access to non-volatile storage which has not
   been widely available on network devices.  However, SMTP-based
   implementations have many desirable characteristics, particularly
   with regards to security.

   Accounting management systems using SMTP for accounting transfer will
   typically support batching so that message processing overhead will
   be spread over multiple accounting records.  As a result, these
   systems result in per-active device state.  Since accounting systems
   using SMTP as a transfer mechanism have access to substantial non-
   volatile storage, they can generate, compress if necessary, and store
   accounting records until they are transferred to the collection site.
   As a result, accounting systems implemented using SMTP can be highly
   efficient and scalable.  Using IPSEC, TLS or Kerberos, hop-by-hop
   security services such as authentication, integrity protection and
   confidentiality can be provided.

   As described in [13] and [15], data object security is available for
   SMTP, and in addition, the facilities described in [12] make it
   possible to request and receive signed receipts, which enables non-
   repudiation as described in [12]-[17].  As a result, accounting
   systems utilizing SMTP for accounting data transfer are capable of
   satisfying the most demanding security requirements.  However, such
   systems are not typically capable of providing low processing delay,
   although this may be addressed by the enhancements described in [20].

4.2.  Other protocols

   File transfer protocols such as FTP and HTTP have been used for
   transfer of accounting data.  For example, Reference [9] describes a
   means for representing ASN.1-based accounting data for storage on
   archival media.  Through the use of the Bulk File MIB, accounting
   data from an SNMP MIB can be stored in ASN.1, bulk binary or Bulk
   ASCII format, and then subsequently retrieved as required using the
   FTP Client MIB.





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   Given access to sufficient non-volatile storage, accounting systems
   based on record formats and transfer protocols can avoid loss of data
   due to long-duration network partitions, server failures or device
   reboots.  Since it is possible for the transfer to be driven from the
   collection site, the collector can retry transfers until successful,
   or with HTTP may even be able to restart partially completed
   transfers.  As a result, file transfer-based systems can be made
   highly reliable, and the batching of accounting records makes
   possible efficient transfers and application of required security
   services with lessened overhead.

5.  Summary

   As noted previously in this document, accounting applications vary in
   their security and reliability requirements.  Some uses such as
   capacity planning may only require authentication, integrity and
   replay protection, and modest reliability.  Other applications such
   as inter-domain usage-sensitive billing may require the highest
   degree of security and reliability, since in these cases the transfer
   of accounting data will lead directly to the transfer of funds.

   Since accounting applications do not have uniform security and
   reliability requirements, it is not possible to devise a single
   accounting protocol and set of security services that will meet all
   needs.  Rather, the goal of accounting management should be to
   provide a set of tools that can be used to construct accounting
   systems meeting the requirements of an individual application.  As a
   result, it is important to analyze a given accounting application to
   ensure that the methods chosen meet the security and reliability
   requirements of the application.

   Based on an analysis of the requirements, it appears that existing
   deployed protocols are capable of meeting the requirements for
   intra-domain capacity planning and non-usage sensitive billing.  In
   these applications efficient transfer of bulk data is useful although
   not critical.  Thus, it is possible to use SNMPv3 to satisfy these
   requirements, without the NMRG extensions.  These include TCP
   transport mapping, sub-tree retrieval, and OID compression.

   In inter-domain capacity planning and non-usage sensitive billing,
   the security and reliability requirements are greater.  As a result,
   no existing deployed protocol satisfies the requirements.  For
   example, existing protocols lack data object security support and
   extensions to improve scalability of inter-domain authentication are
   needed, such as the Kerberos Security Model (KSM) for SNMPv3.






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   For usage sensitive billing, as well as cost allocation and auditing
   applications, the reliability requirement are greater.  Here
   transport layer reliability is required to provide robustness against
   packet loss, as well as application layer acknowledgments to provide
   robustness against accounting server failures.  SNMP operations with
   the exception of InforRequest provide application layer
   acknowledgments, and the TCP transport mapping proposed by NMRG
   provides robustness against packet loss.  Inter-domain operation can
   benefit from data object security (which no existing protocol
   provides) as well as inter-domain security model enhancements (such
   as the KSM).

   Where high-value sessions are involved, such as in roaming, Mobile
   IP, or telephony, it may be necessary to put bounds on processing
   delay.  This implies the need to reduce latency.  As a result, the
   NMRG extensions are required in time sensitive billing applications,
   including TCP transport mapping, get-subtree capabilities and OID
   compression.  High reliability is also required in this application,
   implying the need for application layer as well as transport layer
   acknowledgments.  SNMPv3 with the NMRG extensions and security
   scalability improvements such as the KSM can satisfy the requirements
   in intra-domain use.

   However, in inter-domain use, additional security precautions such as
   data object security and receipt support are required.  No existing
   protocol can meet these requirements.  A summary is given in the
   table on the next page.
























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   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 |                     |                   |
   |  Usage          |   Intra-domain      | Inter-domain      |
   |                 |                     |                   |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 |                     |                   |
   |  Capacity       | SNMPv3 &            | SNMPv3 &<*        |
   |  Planning       | RADIUS #%@          |                   |
   |                 | TACACS+ @           |                   |
   |                 |                     |                   |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 |                     |                   |
   |  Non-usage      | SNMPv3 &            | SNMPv3 &<*        |
   |  Sensitive      | RADIUS #%@          |                   |
   |  Billing        | TACACS+ @           |                   |
   |                 |                     |                   |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 |                     |                   |
   |  Usage          |                     |                   |
   |  Sensitive      |                     |                   |
   |  Billing,       | SNMPv3 &>$          | SNMPv3 &<>*$      |
   |  Cost           | TACACS+ &$@         |                   |
   |  Allocation &   |                     |                   |
   |  Auditing       |                     |                   |
   |                 |                     |                   |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
   |                 |                     |                   |
   |  Time           |                     |                   |
   |  Sensitive      | SNMPv3 &>$          |  No existing      |
   |  Billing,       |                     |  protocol         |
   |  fraud          |                     |                   |
   |  detection,     |                     |                   |
   |  roaming        |                     |                   |
   |                 |                     |                   |
   +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+

   Key
   # = lacks confidentiality support
   * = lacks data object security
   % = limited robustness against packet loss
   & = lacks application layer acknowledgment (e.g. SNMP InformRequest)
   $ = requires non-volatile storage
   @ = lacks batching support
   < = lacks certificate support (KSM, work in progress)
   > = lacks support for large packet sizes (TCP transport mapping,
       experimental)





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6.  Security Considerations

   Security issues are discussed throughout this memo.

7.  Acknowledgments

   The authors would like to thank Bert Wijnen (Lucent), Keith
   McCloghrie (Cisco Systems), Jan Melen (Ericsson) and Jarmo Savolainen
   (Ericsson) for useful discussions of this problem space.

8.  References

   [1]  Aboba, B., Lu J., Alsop J., Ding J. and W. Wang, "Review of
        Roaming Implementations", RFC 2194, September 1997.

   [2]  Aboba, B. and G. Zorn, "Criteria for Evaluating Roaming
        Protocols", RFC 2477, January 1999.

   [3]  Rigney, C., Rubens, A., Simpson, W. and S. Willens, "Remote
        Authentication Dial In User Service (RADIUS)", RFC  2138, April,
        1997.

   [4]  Rigney, C., "RADIUS  Accounting", RFC 2139, April 1997.

   [5]  Shacham, A., Monsour, R., Pereira, R. and M. Thomas, "IP Payload
        Compression Protocol (IPComp)", RFC 2393, December 1998.

   [6]  Bradner, S., "Key words for use in RFCs to Indicate Requirement
        Levels", BCP 14, RFC 2119, March 1997.

   [7]  Information Sciences Institute, "Transmission Control Protocol",
        RFC 793, September 1981.

   [8]  Aboba,  B. and  M.  Beadles, "The Network Access Identifier",
        RFC 2486, January 1999.

   [9]  McCloghrie, K., Heinanen, J., Greene, W. and A. Prasad,
        "Accounting Information for ATM Networks", RFC 2512, February
        1999.

   [10] McCloghrie, K., Heinanen, J., Greene, W., and A. Prasad,
        "Managed Objects for Controlling the Collection and Storage of
        Accounting Information for Connection-Oriented Networks", RFC
        2513, February 1999.

   [11] Frye, R., Levi, D., Routhier, S. and B. Wijnen, "Coexistence
        between Version 1, Version 2, and Version 3 of the Internet-
        standard Management Framework", RFC 2576, March 2000.



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   [12] Fajman, R., "An Extensible Message Format for Message
        Disposition Notifications", RFC 2298, March 1998.

   [13] Elkins, M., "MIME  Security with Pretty Good Privacy (PGP)", RFC
        2015, October 1996.

   [14] Vaudreuil, G., "The Multipart/Report Content Type for the
        Reporting of  Mail System Administrative Messages", RFC 1892,
        January 1996.

   [15] Galvin, J., Murphy, S., Crocker, S. and N. Freed, "Security
        Multiparts for MIME:  Multi-part/Signed and
        Multipart/Encrypted", RFC 1847, October 1995.

   [16] Crocker, D., "MIME Encapsulation of EDI Objects", RFC 1767,
        March 1995.

   [17] Borenstein, N. and N. Freed, "MIME (Multipurpose Internet Mail
        Extensions) Part One: Mechanisms for Specifying and Describing
        the Format of Internet Message Bodies", RFC 1521, December 1993.

   [18] Rose, M.T., The Simple Book, Second Edition, Prentice Hall,
        Upper Saddle River, NJ, 1996.

   [19] Case, J., Mundy, R., Partain, D. and B. Stewart, "Introduction
        to Version 3 of the Internet-standard Network Management
        Framework", RFC 2570, April 1999.

   [20] Klyne, G., "Timely Delivery for Facsimile Using Internet Mail",
        Work in Progress.

   [21] Johnson, H. T., Kaplan, R. S., Relevance Lost: The Rise and Fall
        of Management Accounting, Harvard Business School Press, Boston,
        Massachusetts, 1987.

   [22] Horngren, C. T., Foster, G., Cost Accounting: A Managerial
        Emphasis.  Prentice Hall, Englewood Cliffs, New Jersey, 1991.

   [23] Kaplan, R. S., Atkinson, Anthony A., Advanced Management
        Accounting, Prentice Hall, Englewood Cliffs, New Jersey, 1989.

   [24] Cooper, R., Kaplan, R. S., The Design of Cost Management
        Systems.  Prentice Hall, Englewood Cliffs, New Jersey, 1991.

   [25] Rigney, C., Willats, S. and P. Calhoun, "RADIUS Extensions", RFC
        2869, June 2000.





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   [26] Stewart, R., et al., "Simple Control Transmission Protocol", RFC
        2960, October 2000.

   [27] Harrington, D., Presuhn, R., and B. Wijnen, "An Architecture for
        Describing SNMP Management Frameworks", RFC 2571, April 1999.

   [28] Rose, M., and K. McCloghrie, "Structure and Identification of
        Management Information for TCP/IP-based Internets", STD 16, RFC
        1155, May 1990.

   [29] Rose, M. and K. McCloghrie, "Concise MIB Definitions", STD 16,
        RFC 1212, March 1991.

   [30] Rose, M., "A Convention for Defining Traps for use with the
        SNMP", RFC 1215, March 1991.

   [31] McCloghrie, K., Perkins, D. and J. Schoenwaelder, "Structure of
        Management Information Version 2 (SMIv2)", STD 58, RFC 2578,
        April 1999.

   [32] McCloghrie, K., Perkins, D. and J. Schoenwaelder, "Textual
        Conventions for SMIv2", STD 58, RFC 2579, April 1999.

   [33] McCloghrie, K., Perkins, D. and J. Schoenwaelder, "Conformance
        Statements for SMIv2", STD 58, RFC 2580, April 1999.

   [34] Case, J., Fedor, M., Schoffstall, M. and J. Davin, "Simple
        Network Management Protocol", STD 15, RFC 1157, May 1990.

   [35] Case, J., McCloghrie, K., Rose, M. and S. Waldbusser,
        "Introduction to Community-based SNMPv2", RFC 1901, January
        1996.

   [36] Case, J., McCloghrie, K., Rose, M. and S. Waldbusser, "Transport
        Mappings for Version 2 of the Simple Network Management Protocol
        (SNMPv2)", RFC 1906, January 1996.

   [37] Case, J., Harrington D., Presuhn R. and B. Wijnen, "Message
        Processing and Dispatching for the Simple Network Management
        Protocol (SNMP)", RFC 2572, April 1999.

   [38] Blumenthal, U. and B. Wijnen, "User-based Security Model (USM)
        for version 3 of the Simple Network Management Protocol
        (SNMPv3)", RFC 2574, April 1999.

   [39] Levi, D., Meyer, P. and B. Stewart, "SNMPv3 Applications", RFC
        2573, April 1999.




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   [40] Wijnen, B., Presuhn, R. and K. McCloghrie, "View-based Access
        Control Model (VACM) for the Simple Network Management Protocol
        (SNMP)", RFC 2575, April 1999.

   [41] Case, J., McCloghrie, K., Rose, M. and S. Waldbusser, "Protocol
        Operations for Version 2 of the Simple Network Management
        Protocol (SNMPv2)", RFC 1905, January 1996.

   [42] Tung, B., Neuman, C., Hur, M., Medvinsky, A., Medvinsky, S.,
        Wray, J. and J. Trostle, "Public Key Cryptography for Initial
        Authentication in Kerberos", Work in Progress.

   [43] Tung, B., Ryutov, T., Neuman, C., Tsudik, G., Sommerfeld, B.,
        Medvinsky, A. and M. Hur, "Public Key Cryptography for Cross-
        Realm Authentication in Kerberos", Work in Progress.

   [44] Hornstein, K. and W. Hardaker, "A Kerberos Security Model for
        SNMPv3", Work in Progress.

   [45] Brownlee, N. and A. Blount, "Accounting Attributes and Record
        Formats", RFC 2924, September 2000.

   [46] Network Management Research Group Web page,
        http://www.ibr.cs.tu-bs.de/projects/nmrg/

   [47] Schoenwaelder, J.,"SNMP-over-TCP Transport Mapping", Work in
        Progress.

   [48] Schoenwaelder, J., "SNMP Payload Compression", Work in Progress.

   [49] Sprenkels, R., Martin-Flatin, J.,"Bulk Transfers of MIB Data",
        Simple Times, http://www.simple-times.org/pub/simple-
        times/issues/7-1.html, March 1999.

   [50] Thaler, D., "Get Subtree Retrieval MIB", Work in Progress.

   [51] Daniele, M., Wijnen, B., Ellison, M. and D. Francisco, "Agent
        Extensibility (AgentX) Protocol Version 1", RFC 2741, January
        2000.












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9.  Authors' Addresses

   Bernard Aboba
   Microsoft Corporation
   One Microsoft Way
   Redmond, WA 98052
   USA

   Phone: +1 425 936 6605
   EMail: bernarda@microsoft.com


   Jari Arkko
   Oy LM Ericsson Ab
   02420 Jorvas
   Finland

   Phone: +358 40 5079256
   EMail: Jari.Arkko@ericsson.com


   David Harrington
   Cabletron Systems Inc.
   P.O.Box 5005
   Rochester NH 03867-5005
   USA

   Phone: +1 603 337 7357
   EMail: dbh@cabletron.com






















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10.  Intellectual Property Statement

   The IETF takes no position regarding the validity or scope of any
   intellectual property or other rights that might be claimed to
   pertain to the implementation or use of the technology described in
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   standards-related documentation can be found in BCP-11.  Copies of
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   be obtained from the IETF Secretariat.

   The IETF invites any interested party to bring to its attention any
   copyrights, patents or patent applications, or other proprietary
   rights which may cover technology that may be required to practice
   this standard.  Please address the information to the IETF Executive
   Director.






























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11.  Full Copyright Statement

   Copyright (C) The Internet Society (2000).  All Rights Reserved.

   This document and translations of it may be copied and furnished to
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Acknowledgement

   Funding for the RFC Editor function is currently provided by the
   Internet Society.



















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