rfc1404.txt

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Network Working Group                                        B. Stockman
Request for Comments: 1404                                NORDUnet/SUNET
                                                            January 1993


               A Model for Common Operational Statistics

Status of the Memo

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

Abstract

   This memo describes a model for operational statistics in the
   Internet.  It gives recommendations for metrics, measurements,
   polling periods, storage formats and presentation formats.

Acknowledgements

   The author would like to thank the members of the Operational
   Statistics Working Group of the IETF whose efforts made this memo
   possible.

Table of Contents

   1.      Introduction ............................................. 2
   2.      The Model ................................................ 5
   2.1     Metrics and Polling Periods .............................. 5
   2.2     Format for Storing Collected Data ........................ 6
   2.3     Reports .................................................. 6
   2.4     Security Issues .......................................... 6
   3.      Categorization of Metrics ................................ 7
   3.1     Overview ................................................. 7
   3.2     Categorization of Metrics Based on Measurement Areas ..... 7
   3.2.1   Utilization Metrics ...................................... 7
   3.2.2   Performance Metrics ...................................... 7
   3.2.3   Availability Metrics ..................................... 7
   3.2.4   Stability Metrics ........................................ 8
   3.3     Categorization Based on Availability of Metrics .......... 8
   3.3.1   Per Interface Variables Already in Standard MIB .......... 8
   3.3.2   Per Interface Variables in Private Enterprise MIB ........ 9
   3.3.3   Per interface Variables Needing High Resolution Polling .. 9
   3.3.4   Per Interface Variables not in any MIB ................... 9
   3.3.5   Per Node Variables ....................................... 9
   3.3.6   Metrics not being Retrievable with SNMP ................. 10
   3.4     Recommended Metrics ..................................... 10



Stockman                                                        [Page 1]

RFC 1404                 Operational Statistics             January 1993


   3.4.1   Chosen Metrics .......................................... 10
   4.      Polling Frequencies ..................................... 11
   4.1     Variables Needing High Resolution Polling ............... 11
   4.2     Variables not Needing High Resolution Polling ........... 11
   5.      Pre-Processing of Raw Statistical Data .................. 12
   5.1     Optimizing and Concentrating Data to Resources .......... 12
   5.2     Aggregation of Data ..................................... 12
   6.      Storing of Statistical Data ............................. 13
   6.1     The Storage Format ...................................... 13
   6.1.1   The Label Section ....................................... 14
   6.1.2   The Device Section ...................................... 14
   6.1.3   The Data Section ........................................ 16
   6.2     Storage Requirement Estimations ......................... 17
   7.      Report Formats .......................................... 18
   7.1     Report Types and Contents ............................... 18
   7.2     Contents of the Reports ................................. 18
   7.2.1   Offered Load by Link .................................... 18
   7.2.2   Offered Load by Customer ................................ 18
   7.2.3   Resource Utilization Reporting .......................... 19
   7.2.3.1 Utilization as Maximum Peak Behavior .................... 19
   7.2.3.2 Utilization as Frequency Distribution of Peaks .......... 19
   8.      Considerations for Future Development ................... 20
   8.1     A Client/Server Based Statistical Exchange System ....... 20
   8.2     Inclusion of Variables not in the Internet Standard MIB . 20
   8.3     Detailed Resource Utilization Statistics ................ 20
   Appendix A  Some formulas for statistical aggregation ........... 21
   Appendix B  An example .......................................... 24
   Security Considerations ......................................... 27
   Author's Address ................................................ 27

1. Introduction

   Today it is not uncommon for many network administrations to collect
   and archive network management metrics that indicate network
   utilization, growth, and outages.  The primary goal is to facilitate
   near-term problem isolation and longer-term network planning within
   the organization.  There is also the larger goal of cooperative
   problem isolation and network planning between network
   administrations.  This larger goal is likely to become increasingly
   important as the Internet continues to grow.

   There exist a variety of network management tools for the collection
   and presentation of network management metrics.  However, different
   kinds of measurement and presentation techniques makes it difficult
   to compare data between networks.  Plus, there is not common
   agreement on what metrics should be regularly collected or how they
   should be displayed.




Stockman                                                        [Page 2]

RFC 1404                 Operational Statistics             January 1993


   There needs to be an agreed-upon model for

    1) A minimal set of common network management metrics to satisfy the
       goals stated above.

    2) Tools for collecting these metrics.

    3) A common storage format to facilitate the usage of these data by
       common presentation tools.

    4) Common presentation formats.

   Under this Operational Statistics model, collection tools will
   collect and store data in a given format to be retrieved later by
   presentation tools displaying the data in a predefined way.  (See
   figure below.)



































Stockman                                                        [Page 3]

RFC 1404                 Operational Statistics             January 1993


                     The Operational Statistics Model

   (Collection of common metrics, by commonly available tools, stored in
   a common format, displayed in common formats by commonly available
   presentation tools.)

                      !-----------------------!
                      !       Network         !
                      !---+---------------+---!
                         /                 \
                        /                   \
                       /                     \
              --------+------             ----+---------
              !     New     !             !    Old     !
              !  Collection !             ! Collection !
              !     Tool    !             !    Tool    !
              !---------+---!             !------+-----!
                         \                       !
                          \              !-------+--------!
                           \             ! Post-Processor !
                            \            !--+-------------!
                             \             /
                              \           /
                               \         /
                             !--+-------+---!
                             !    Common    !
                             !  Statistics  !
                             !   Database   !
                             !-+--------+---!
                              /          \
                             /            \
                            /              \
                           /              !-+-------------!
                          /               ! Pre-Processor !
                         /                !-------+-------!
            !-----------+--!                      !
            !     New      !              !-------+-------!
            ! Presentation !              !     Old       !
            !     Tool     !              ! Presentation  !
            !---------+----!              !     Tool      !
                       \                  !--+------------!
                        \                   /
                         \                 /
                        !-+---------------+-!
                        ! Graphical Output  !
                        ! (e.g., to paper   !
                        ! or X-window)      !
                        !-------------------!



Stockman                                                        [Page 4]

RFC 1404                 Operational Statistics             January 1993


   This memo gives an overview of this model for common operational
   statistics. The model defines the gathering, storing and presentation
   of network operational statistics and classifies the types of
   information that should be available at each network operation center
   conforming to this model.

   The model defines a minimal set of metrics, how these metrics should
   gathered and stored. Finally the model gives recommendations on the
   content and the layout of statistical reports making it possible to
   easily compare networks statistics between NOCs.

   The primary purpose of this model is to define ways and methods on
   how NOCs could most effectively share their operational statistics.
   One intention with this model is to specify a baseline capability
   that NOCs conforming to the this model may support with a minimal
   development effort and a minimal ongoing effort.

2. The Model

   The model defines three areas of interest on which all underlying
   concepts are based.

        1. The definition of a minimal set of metrics to be gathered

        2. The definition of a format for storing collected statistical
           data.

        3. The definition of methods and formats for generating
           reports.

   The model indicates that old tools used today could be retrofitted
   into the new paradigm. This could be done by providing conversion-
   filters between the old and the new environment tools. In this sense
   this model intends to advocate the development of public domain
   software for use by participating NOCs.

   One basic idea with the model is that statistical data stored at one
   place could be retrieved and displayed at some other place.

2.1 Metrics and Polling Periods

   The intention here is to define a minimal set of metrics that easily
   could be gathered using standard SNMP based network management tools.
   These metrics should hence be available as variables in the Internet
   Standard MIB.

   If the Internet Standard MIB is changed also this minimal set of
   metrics could be reconsidered as there are many metrics viewed as



Stockman                                                        [Page 5]

RFC 1404                 Operational Statistics             January 1993


   important but currently not being defined in the standard MIB.  For
   some metrics being highly desirable to collect there are currently no
   way to get them into the Internet Standard MIB as these metrics
   probably are not possible to retrieve using SNMP.  Tools and methods
   in gathering such metrics should be explicitly defined if such
   metrics are to be considered. This is, however, outside of the scope
   of this memo.

2.2 Format for Storing Collected Data

   A format for storing data is defined. The intention is to minimize
   redundant information by using a single header structure where all
   information relevant to a certain set of statistical data is stored.
   This header section will give information on when and where the
   corresponding statistical data where collected.

2.3 Reports

   Some basic classes of reports are suggested with regards to different
   views of network behavior. For this reason reports on totals of
   octets and packets over some period in time are regarded as essential
   to give an overall view of the traffic flows in a network.
   Differentiation between application and protocols to give ideas on
   which type of traffic is dominant is regarded as needed.  Finally
   reports on resource utilization are recommended..

   Depending on the intention with a report the timeperiod over which it
   spans may vary. For capacity planning there may be a need for longer
   term reports while in engineering and operation there may be
   sufficient with reports on weekly or daily basis.

2.4 Security Issues

   There are legal, ethical and political concerns of data sharing.
   People are concerned about showing data that may make one of the
   networks look bad.

   For this reason there is a need to insure integrity, conformity and
   confidentiality of the shared data. To be useful, the same data must
   be collected from all of the involved sites and it must be collected
   at the same interval. To prevent vendors from getting an unfair
   performance information, certain data must not be made available.









Stockman                                                        [Page 6]

RFC 1404                 Operational Statistics             January 1993


3. Categorization of Metrics

3.1 Overview

   This section gives a classification of metrics with regard to scope
   and easiness of retrieve. A recommendation of a minimal set of
   metrics is given. The section also gives some hints on metrics to be
   considered for future inclusion when available in the network
   management environment. Finally some thoughts on storage requirements
   are presented.

3.2 Categorization of Metrics Based on Measurement Areas

   The metrics used in evaluating network traffic could be classified
   into (at least) four major categories:

    - Utilization metrics
    - Performance metrics
    - Availability metrics
    - Stability metrics

3.2.1. Utilization Metrics

   These category describes different aspects of the total traffic being
   forwarded through the network. Possible metrics are:

    - Total input and output packets and octets.
    - Various peak metrics.
    - Per protocol and per application metrics.

3.2.2 Performance Metrics

   These metrics describes the quality of service such as delays and
   congestion situations. Possible metrics are:

    - RTT metrics on different protocol layers.
    - Number of collisions on a bus network

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