Internet Info 1997 December/Internet_Info_CD-ROM_Walnut_Creek_December_1997.iso/ietf/92mar/trafchar-minutes-92mar.txt

Text File | 1993-02-17 | 14KB | 320 lines

This is only a rough draft - Megan 04/10/92

 Summary of IETF BOF on Network Statistics and Analysis


 1. Introduction

 The purpose of this BOF is to instigate discussion
 and information exchange within the community concerning
 research in wide-area network traffic measurements.
 Five brief presentations of related research were made,
 followed by discussion of each.

 One theme of the BOF was to discuss exactly what kind
 of network instrumentation, measurement facilities, and
 types of measurements should be recommended to the Internet
 community.  Many of us would like to encourage the managers
 of stub networks and routers to collect and make available
 information similar in spirit to the statistics
 that NSFNET makes available through Merit/NSFNET Information
 Services (NIS.NSF.NET).  We hope this effort eventually
 evolves into an RFC, and eventually leads to a widespread
 cooperative effort.  We freely admit that the road to success
 will be an iterative process, fraught with plenty of
 challenging technical details.

 The amount of space consumed by this data completely depends on the
 type of measurement.  For example, collecting TCP SYN/FIN/RST packets
 could lead to hundreds of megabytes a day, depending on the collection
 site.  Other methods, like sampling or recording the quantity of bytes
 sent to particular destination networks might require less than a hundred
 kilobytes a month.  In the first case, the volume of trace data can be
 on the order of one to two percent of the traffic itself, with the resulting
 data  possibly having to be sent by tape rather than electronic means to
 the location where the network analysis will happen.

 The Internet Activities Board (IAB) recently announced guidelines for
 measurement activities.  RFC 1262 lists bounds that should be commonly
 acceptable.  However RFC 1262 directly addresses invasive
 measurement activities, and is only marginally applicable
 to passive data collection.   We believe we will have to face
 many new issues hitherto unaddressed.  What we propose must honor
 the concerns and restrictions that individual networks may impose,
 yet thorough enough to capture the data that we need to accomplish
 the research goals, and should allow for flexibility.  An example
 of a difficult issue to resolve is the privacy when using network
 addresses, in particular as workstations with their own IP addresses
 frequently map to individual users.  Our efforts should address
 privacy measures, that still allow professional research to be
 conducted.

 Most likely, each of us has a different idea as to the data we need
 to have measured to achieve our various objectives.  Below,
 we summarize these motivations and give a preliminary list of the
 measurements and trace data that we believe should be collected or capturable.
 We encourage you all to add to both the motivation list and chart
 of traces and measurements, and mail them back to [e-mail]
 for inclusion in this document.


 2.  Motivations

 2.1 Artificial workload models (Danzig and Jamin)

 Good artificial workload models are needed to drive simulations of
 new resource management algorithms, flow control algorithms, and
 routing algorithms.  The artificial workload models that we are
 developing consist of an application specific model (ftp, telnet, nntp, etc.)
 and an application arrival rate model that is stub network dependent.
 So far we have been able to identify applications from their port
 numbers.  As new transport protocols emerge, we may need other mechanisms.
 Creating the application specific model requires full traces of TCP/IP
 packet headers.  Creating the stub network specific model requires
 traces of TCP SYN/FIN/RST packets only.  Most of our data has been collected
 with statspy or tcpdump from a machine on the same
 Ethernet segment as the stub network's gateway to the backbone.
 We would like to collect SYN/FIN/RST traces from hundreds of stub
 networks.  Given current network bandwidth and usage, these traces
 can range to 200MB/day.


 2.2 Network planning (Braun and Claffy)

 SDSC and UCSD are undertaking a network analysis effort
 with multiple goals of immediate applicability
 and interest to the Internet environment, with respect
 to both performance and ubiquity.

 Areas of current investigation include: measurements and
 analysis of resource consumption and latencies, network
 performance degradation under resource starvation, and
 end-to-end performance testing.  We have determined, for
 selected data sets, characteristics of network usage by
 application, bandwidth requirements, and geographic distribution.
 We are also exploring the role that granularity plays in traffic
 analysis, both in statistical sampling of traffic on an
 operational basis, and in the level of detail
 one presents data to optimize the information/noise ratio.

 We are currently analyzing data from a variety of
 sources, including national networks as well as federal network
 interconnection points of multiple agencies.
 Statistical examination and manipulation of data reveals
 significant traffic correlations, trends, and dependencies.

 We are also undertaking collaborative efforts with Toshiya
 Asaba and the WIDE statistics working group in Japan.
 In particular, Asaba is largely responsible for the
 analysis scripts which facilitated statistical
 examination and data presentation.  We first intended
 the scripts for use in a study of international traffic
 between Japan and other nations.  We were able to adapt
 the script for use in subsequent studies.  Building a
 public library of usable scripts for different analysis
 tasks requires agreement on data formats in multiple
 phases of collection and analysis.  We would like to
 see a collaborative effort within the community toward
 accomplishing such a task.

 Further information and slides are available by
 sending requests to the SDSC Applied Network Research
 Group, via [e-mail] or [e-mail]

 2.3 Stateful router studies (Estrin and Mitzel)
     [Related information, though not participated at the BOF.]

 The current Internet is based on a stateless (datagram) architecture.
 However, many recent proposals rely on the maintenance of state
 information within network routers, leading to our interest in the
 implications of a ``stateful'' network layer.
 We wish to collect internetwork traffic traces at the border routers
 of stub and transit networks, and use this data to evaluate, or
 predict, the effects of design alternatives for stateful architectures.

 An important design decision is the level at which conversations are
 defined.  This determines the granularity of control over the network
 traffic, and affects the scalability of the system.  We are interested in
 several granularities of conversations, ranging from
 a single TCP application association, up to aggregation of all traffic
 between two communicating networks.  We will use the data to estimate the
 number of active conversations at a router, and derive the
 storage requirements for the associated conversation state table. We
 will analyze the feasibility of fine grain control at the network
 periphery and deeper within the network.

 In conventional IP, the only lookup function normally required for
 packet forwarding is a routing table lookup.  This has been recognized
 as a bottleneck in the forwarding process [Feldmeier, Jain].
 It has been shown that the introduction of an LRU cache can substantially
 improve the efficiency of the packet forwarding process.  Route
 caching is used in many existing routers.  However,  unlike the
 stateful schemes investigated here, which require lookup based
 on source--destination pairs, current route caches are based only
 on destination host or network.  It is not intuitively obvious whether
 the solutions developed for routing table caches can be applied here.
 We will use our network traffic traces to
 perform trace driven simulations of an LRU cache, for different
 conversation granularities, and thereby assess traffic locality and
 the benefits of caching.


 2.4 Network monitoring (Schwartz and Pu)

 Schwartz proposed that a group of a dozen of us or so agree to
 collaborate to collect traces and measurements.  He also described
 his recent study of FTP traffic which showed that tools to
 locate copies of large, replicated files may reduce wide area
 network traffic due to FTP.  The unique aspect of Schwartz's traces
 was that it actually peered at application level data in a
 way that preserved privacy.


 2.5 Host reliability and availability (Long)

 Long summarized his study of internet host reliability and
 availability.  This was the only active form of tracing
 discussed during the BOF.


 3. Measurements and traces

 Here is a first pass at the type of data we would like to see
 collected, and what studies would use this data.  These categories
 need to be detailed, and new categories probably need to be
 filled in.  The table identifies four types of data to collect.
 These include captured packets and packet headers (excluding
 data), headers of selected packets, summary data, and routing and
 congestion data.  The first three types of data are pretty well
 defined, while the last is much less so.  Although we can collect such
 data from anywhere in the Internet, we classify it into three
 classes: entrances to stub networks, regional and backbone
 routers, and international gateways.

                                   TYPE OF DATA

              | Captured   |TCPDUMP     |NSF.NIS.NET |Router      |
 M            | Packets &  |Conversation|LIKE DATA   |Timing and  |
 E            | Packet     |SYN/FIN/RST |Data        |Queue length|
 A            | Headers    |Traces      |            |(MIB)       |
 S   --------------------------------------------------------------
 U            |Workload    |Workload    |            | Congestion |
 R   STUB     |models      |models      |            | studies    |
 E   NETWORKS |            |            |            |            |
 M            |Workload    |            |Workload    |            |
 E            |Planning    |            |Planning    |            |
 N    --------------------------------------------------------------
 T            |            |            |            |            |
     REGIONAL |            |            |            |            |
       AND    |Stateful    |            |            | Congestion |
     BACKBONE |Routers     |            |            | studies    |
 P   NETWORKS |            |            |            |            |
 O            |Workload    |            |Workload    |            |
 I            |Planning    |            |Planning    |            |
 N   --------------------------------------------------------------
 T            |            |            |            | Congestion |
     INTER-   |            |            |            | studies    |
     NATIONAL |            |            |            |            |
     GATEWAYS |            |            |            |            |
              |Workload    |            |Workload    |            |
              |Planning    |            |Planning    |            |
     --------------------------------------------------------------
                         Table 1.


 4. Trace formats and tools

 We need to define the storage format for trace and statistical data.
 For some formats, like tcpdump or statspy, the format is already pre-defined.
 Almost certainly we should adopt NSFNET's current format for the type of data
 they collect.  We also need to define ``sanitizer'' programs that implement the
 security concerns of particular networks.

 There is an operations area in IETF which has been defining some standard
 transport and storage formats for various kinds of operational data.

 Dealing with gigabytes of data is results in a serious resource impact.
 An effort has to be undertaken to identify schemes to make such large
 quantities of data useful, possibly via multiple levels of data reduction.


 5. Mailing list:

 The current composition of [e-mail] is listed below.
 Change requests can be sent to [e-mail]


         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]
         [e-mail]