rfc2063.txt

著名的RFC文档,其中有一些文档是已经翻译成中文的的.

Network Working Group                                        N. Brownlee
Request for Comments: 2063                    The University of Auckland
Category: Experimental                                          C. Mills
                                            BBN Systems and Technologies
                                                                 G. Ruth
                                                  GTE Laboratories, Inc.
                                                            January 1997


                Traffic Flow Measurement:  Architecture

Status of this Memo

   This memo defines an Experimental Protocol for the Internet
   community.  This memo does not specify an Internet standard of any
   kind.  Discussion and suggestions for improvement are requested.
   Distribution of this memo is unlimited.

Abstract

   This document describes an architecture for the measurement and
   reporting of network traffic flows, discusses how this relates to an
   overall network traffic flow architecture, and describes how it can
   be used within the Internet.  It is intended to provide a starting
   point for the Realtime Traffic Flow Measurement Working Group.

Table of Contents

 1 Statement of Purpose and Scope                                     2
 2 Traffic Flow Measurement Architecture                              4
   2.1 Meters and Traffic Flows . . . . . . . . . . . . . . . . . .   4
   2.2 Interaction Between METER and METER READER . . . . . . . . .   6
   2.3 Interaction Between MANAGER and METER  . . . . . . . . . . .   6
   2.4 Interaction Between MANAGER and METER READER . . . . . . . .   7
   2.5 Multiple METERs or METER READERs . . . . . . . . . . . . . .   7
   2.6 Interaction Between MANAGERs (MANAGER - MANAGER) . . . . . .   8
   2.7 METER READERs and APPLICATIONs . . . . . . . . . . . . . . .   8
 3 Traffic Flows and Reporting Granularity                            9
   3.1 Flows and their Attributes . . . . . . . . . . . . . . . . .   9
   3.2 Granularity of Flow Measurements . . . . . . . . . . . . . .  11
   3.3 Rolling Counters, Timestamps, Report-in-One-Bucket-Only  . .  13
 4 Meters                                                            15
   4.1 Meter Structure  . . . . . . . . . . . . . . . . . . . . . .  15
   4.2 Flow Table . . . . . . . . . . . . . . . . . . . . . . . . .  17
   4.3 Packet Handling, Packet Matching . . . . . . . . . . . . . .  17
   4.4 Rules and Rule Sets  . . . . . . . . . . . . . . . . . . . .  21
   4.5 Maintaining the Flow Table . . . . . . . . . . . . . . . . .  24
   4.6 Handling Increasing Traffic Levels . . . . . . . . . . . . .  25



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 5 Meter Readers                                                     26
   5.1 Identifying Flows in Flow Records  . . . . . . . . . . . . .  26
   5.2 Usage Records, Flow Data Files . . . . . . . . . . . . . . .  27
   5.3 Meter to Meter Reader:  Usage Record Transmission. . . . . .  27
 6 Managers                                                          28
   6.1 Between Manager and Meter:  Control Functions  . . . . . . .  28
   6.2 Between Manager and Meter Reader:  Control Functions   . . .  29
   6.3 Exception Conditions . . . . . . . . . . . . . . . . . . . .  31
   6.4 Standard Rule Sets   . . . . . . . . . . . . . . . . . . . .  32
 7 APPENDICES                                                        33
   7.1 Appendix A: Network Characterisation . . . . . . . . . . . .  33
   7.2 Appendix B: Recommended Traffic Flow Measurement Capabilities 34
   7.3 Appendix C: List of Defined Flow Attributes  . . . . . . . .  35
   7.4 Appendix D: List of Meter Control Variables  . . . . . . . .  36
 8 Acknowledgments                                                   36
 9 References                                                        37
10 Security Considerations                                           37
11 Authors' Addresses                                                37

1 Statement of Purpose and Scope

   This document describes an architecture for traffic flow measurement
   and reporting for data networks which has the following
   characteristics:

     - The traffic flow model can be consistently applied to any
       protocol/application at any network layer (e.g.  network,
       transport, application layers).

     - Traffic flow attributes are defined in such a way that they are
       valid for multiple networking protocol stacks, and that traffic
       flow measurement implementations are useful in MULTI-PROTOCOL
       environments.

     - Users may specify their traffic flow measurement requirements
       in a simple manner, allowing them to collect the flow data they
       need while ignoring other traffic.

     - The data reduction effort to produce requested traffic flow
       information is placed as near as possible to the network
       measurement point.  This reduces the volume of data to be
       obtained (and transmitted across the network for storage),
       and minimises the amount of processing required in traffic
       flow analysis applications.







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   The architecture specifies common metrics for measuring traffic
   flows.  By using the same metrics, traffic flow data can be exchanged
   and compared across multiple platforms.  Such data is useful for:

     - Understanding the behaviour of existing networks,

     - Planning for network development and expansion,

     - Quantification of network performance,

     - Verifying the quality of network service, and

     - Attribution of network usage to users.

   The traffic flow measurement architecture is deliberately structured
   so that specific protocol implementations may extend coverage to
   multi-protocol environments and to other protocol layers, such as
   usage measurement for application-level services.  Use of the same
   model for both network- and application-level measurement may
   simplify the development of generic analysis applications which
   process and/or correlate any or all levels of traffic and usage
   information.  Within this docuemt the term 'usage data' is used as a
   generic term for the data obtained using the traffic flow measurement
   architecture.

   This document is not a protocol specification.  It specifies and
   structures the information that a traffic flow measurement system
   needs to collect, describes requirements that such a system must
   meet, and outlines tradeoffs which may be made by an implementor.

   For performance reasons, it may be desirable to use traffic
   information gathered through traffic flow measurement in lieu of
   network statistics obtained in other ways.  Although the
   quantification of network performance is not the primary purpose of
   this architecture, the measured traffic flow data may be used as an
   indication of network performance.

   A cost recovery structure decides "who pays for what." The major
   issue here is how to construct a tariff (who gets billed, how much,
   for which things, based on what information, etc).  Tariff issues
   include fairness, predictability (how well can subscribers forecast
   their network charges), practicality (of gathering the data and
   administering the tariff), incentives (e.g.  encouraging off-peak
   use), and cost recovery goals (100% recovery, subsidisation, profit
   making).  Issues such as these are not covered here.

   Background information explaining why this approach was selected is
   provided by 'Traffic Flow Measurement:  Background' RFC [1].



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2 Traffic Flow Measurement Architecture

   A traffic flow measurement system is used by network Operations
   personnel for managing and developing a network.  It provides a tool
   for measuring and understanding the network's traffic flows.  This
   information is useful for many purposes, as mentioned in section 1
   (above).

   The following sections outline a model for traffic flow measurement,
   which draws from working drafts of the OSI accounting model [2].
   Future extensions are anticipated as the model is refined to address
   additional protocol layers.

2.1 Meters and Traffic Flows

   At the heart of the traffic measurement model are network entities
   called traffic METERS. Meters count certain attributes (such as
   numbers of packets and bytes) and classify them as belonging to
   ACCOUNTABLE ENTITIES using other attributes (such as source and
   destination addresses).  An accountable entity is someone who (or
   something which) is responsible for some activitiy on the network.
   It may be a user, a host system, a network, a group of networks, etc,
   depending on the granularity specified by the meter's configuration.

   We assume that routers or traffic monitors throughout a network are
   instrumented with meters to measure traffic.  Issues surrounding the
   choice of meter placement are discussed in the 'Traffic Flow
   Measurement:  Background' RFC [1].  An important aspect of meters is
   that they provide a way of succinctly aggregating entity usage
   information.

   For the purpose of traffic flow measurement we define the concept of
   a TRAFFIC FLOW, which is an artificial logical equivalent to a call
   or connection.  A flow is a portion of traffic, delimited by a start
   and stop time, that was generated by a particular accountable entity.
   Attribute values (source/destination addresses, packet counts, byte
   counts, etc.)  associated with a flow are aggregate quantities
   reflecting events which take place in the DURATION between the start
   and stop times.  The start time of a flow is fixed for a given flow;
   the end time may increase with the age of the flow.

   For connectionless network protocols such as IP there is by
   definition no way to tell whether a packet with a particular
   source/destination combination is part of a stream of packets or not
   - each packet is completely independent.  A traffic meter has, as
   part of its configuration, a set of 'rules' which specify the flows
   of interest, in terms of the values of their attributes.  It derives
   attribute values from each observed packet, and uses these to decide



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   which flow they belong to.  Classifying packets into 'flows' in this
   way provides an economical and practical way to measure network
   traffic and ascribe it to accountable entities.

   Usage information which is not deriveable from traffic flows may also
   be of interest.  For example, an application may wish to record
   accesses to various different information resources or a host may
   wish to record the username (subscriber id) for a particular network
   session.  Provision is made in the traffic flow architecture to do
   this.  In the future the measurement model will be extended to gather
   such information from applications and hosts so as to provide values
   for higher-layer flow attributes.

   As well as FLOWS and METERS, the traffic flow measurement model
   includes MANAGERS, METER READERS and ANALYSIS APPLICAIONS, which are
   explained in following sections.  The relationships between them are
   shown by the diagram below.  Numbers on the diagram refer to sections
   in this document.

                    MANAGER
                   /       \
              2.3 /         \ 2.4
                 /           \
                /             \                       ANALYSIS
           METER   <----->   METER READER  <----->   APPLICATION
                     2.2                     2.7



  - MANAGER: A traffic measurement manager is an application which
    configures 'meter' entities and controls 'meter reader' entities.
    It uses the data requirements of analysis applications to determine
    the appropriate configurations for each meter, and the proper
    operation of each meter reader.  It may well be convenient to
    combine the functions of meter reader and manager within a single
    network entity.

  - METER: Meters are placed at measurement points determined by
    network Operations personnel.  Each meter selectively records
    network activity as directed by its configuration settings.  It can
    also aggregate, transform and further process the recorded activity
    before the data is stored.  The processed and stored results are
    called the 'usage data.'

  - METER READER: A meter reader reliably transports usage data from
    meters so that it is available to analysis applications.





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  - ANALYSIS APPLICATION: An analysis application processes the usage
    data so as to provide information and reports which are useful for
    network engineering and management purposes.  Examples include:

      -  TRAFFIC FLOW MATRICES, showing the total flow rates for
         many of the possible paths within an internet.

      -  FLOW RATE FREQUENCY DISTRIBUTIONS, indicating how flow
         rates vary with time.

      -  USAGE DATA showing the total traffic volumes sent and