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Investigation of Global Network Routing Behavior

Investigation of Global Network Routing Behavior. BJ Premore Dartmouth College Prof. David Nicol, Advisor December 8, 2000 In collaboration with Jim Cowie, Renesys Corporation Tim Griffin, AT&T Labs-Research Andy Ogielski, Renesys Corporation

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Investigation of Global Network Routing Behavior

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  1. Investigation of GlobalNetwork Routing Behavior BJ Premore Dartmouth College Prof. David Nicol, Advisor December 8, 2000 In collaboration with Jim Cowie, Renesys Corporation Tim Griffin, AT&T Labs-Research Andy Ogielski, Renesys Corporation … and several other colleagues

  2. Overview • Objectives • better understand inter-domain routing dynamics • explore impact of implementation tradeoffs • explore extensions before deployment • provide a useful tool for researchers • Implementation • simulation architecture • BGP functionality • validation • Research Applications • convergence (ongoing) • security (ongoing) • timing, policy interaction, proposed extensions, etc.

  3. Overview • Objectives • better understand inter-domain routing dynamics • explore impact of implementation tradeoffs • explore extensions before deployment • provide a useful tool for researchers • Implementation • simulation architecture • BGP functionality • validation • Research Applications • convergence (ongoing) • security (ongoing) • timing, policy interaction, proposed extensions, etc.

  4. Simulation Architecture DML =Domain Modeling Language - model configuration SSFNet =SSF Network Models - compositional approach to large network design - not independent SSF =Scalable Simulation Framework - a modern standard for discrete-event simulation of large, complex systems - multiple implementations - the “engine under the hood”

  5. DML Configurations Model Instances configure Network Components as Java Classes SSFNet enhances Simulator Implementations DaSSF CSSF Raceway implements implements implements C++ C Java SSF standard Simulator API Simulation Layers

  6. Why Another Simulator? • Fully Integrated Network Environment • control over more than just BGP • eg: TCP/IP, traffic, router & link hardware • Scalability • designed to handle large, complex simulations • tens of thousands of multi-protocol nodes • Design Trade-off Toggles • eg: tie-breaking in route selection • eg: apply minAdver timer to withdrawals • Explore Impact of New Functionality • before it goes live! • eg: MPLS; protocol extensions

  7. Pros and Cons • We can’t … • expect to model real-world routers perfectly with every detail • We can … • capture the most important characteristics • change and tweak the protocol • explore consequences of fundamental design of BGP • explore proposed and novel protocol extensions • evaluate and analyze collective behavior on a large-scale

  8. SSFNet Layer DML configurations Model Instances configure Network Components as Java Classes SSFNet enhances Simulator Implementations DaSSF CSSF Raceway implements implements implements C++ C Java SSF standard Simulator API

  9. physical entities link router host Example SSFNet Components protocols IP TCP Sockets FTP logical containers BGP HTTP OSPF Net protocol graph

  10. SSF.OS.BGP • Based on RFCs • RFC 1771: BGP-4 and latest drafts • RFC compliant implementation • Includes some RFC-specified extensions (Route Reflection) • Has features similar to those used by vendors (policy-based filtering)

  11. SSF.OS.BGP4 Functionality • Finite state machine, timers, RIB • TCP transport • Peering: exterior and interior • Route reflection • Messages and path attributes • Policy • filter based on path attribute • attribute modification • Monitoring of protocol operation • gather stats on practically any event of interest

  12. Package SSF.OS.BGP4 Organization BGPSession PeerEntry PeerEntry RIBIn RIBIn LocRIB RIBOut RIBOut Policy Rule (inbound) Timers ConnRetry KeepAlive Hold MinAdver Policy Rule (outbound)

  13. Validation Methodology • No standards, create our own suite • Basic behavior in simple topologies • Peering session maintenance (Hold & KeepAlive timer operation) • Route advertisement and withdrawal • Route selection • Reflection • Internal BGP • General behavior in complex topologies • End-to-end data delivery • Exercises basic behaviors as well • Policy testing • Converging and non-converging gadgets [Griffin 1999]

  14. Example: Route Reflection Validation Test Topology

  15. Another Test Topology

  16. Large Network Example

  17. Example With Monitoring Filters

  18. DML Example host [ id 1 interface [ id 1 ] ] router [ id 2 interface [ idrange [ from 1 to 4 ] ] ] link [ attach 1(1) attach 2(1) ] 1 2 1 1 2 3 4

  19. DML: Adding Protocols router [ graph [ ProtocolSession [ name bgp use SSF.OS.BGP4.BGPSession ] ProtocolSession [ name ospf use SSF.OS.OSPF.sOSPF ] ProtocolSession [ name tcp use SSF.OS.TCP.tcpSessionMaster ] ProtocolSession [ name ip use SSF.OS.IP ] ] ] BGP OSPF TCP IP protocol graph

  20. Overview • Objectives • better understand inter-domain routing dynamics • explore impact of implementation tradeoffs • explore extensions before deployment • provide a useful tool for researchers • Implementation • simulation architecture • BGP functionality • validation • Research Applications • convergence (ongoing) • security (ongoing) • timing, policy interaction, proposed extensions, etc.

  21. Interesting Possibilities • Better value for MinAdver timer? • Improved route flap dampening? • Policy studies • How do various configurations affect convergence? • Test effects of policy changes before deployment • EGP-IGP interaction studies • Are there instability side-effects? • Is it safe to convert between different cost metrics? • MPLS • Will it have any unexpected effects on routing? • Security studies

  22. A Security Study • Black Holes • How many networks can/will be included? • parameters • severity of misconfiguration or maliciousness • number of misbehaving routers • location of misbehaving routers • Other Questions • What is the impact of SBGP on routing efficiency? • Can attacks and misconfigurations be detected? • How can we speed up convergence after an attack?

  23. A Convergence Study • Goals • build upon previous work • Labovitz, Ahuja, Bose & Jahanian 2000 • what factors contribute to observed dynamic behaviors? • isolate contributions of different parameters • policy, topology, iBGP, timers, etc. • make recommendations for implementations (eventually) • what changes can alleviate impact of various factors?

  24. A Convergence Study • Model Parameters • topology: N ASes each with just 1 router • shape: line, loop, wheel, meshes, grid • size: vary N from 2 to 100 • policy • permit all or typical customer/provider/peer • link delay • all equal or random • Advertise, Withdraw, Wait and Watch • Wait for system to reach stable state, then … • Designated AS advertises a bogus destination to everyone else • Wait for system to reach a stable state again, then … • Designated AS tells everyone that the bogus route is not reachable through it any more • Wait for system to reach a stable state again

  25. line wheel emesh loop imesh grid Simple Topologies

  26. Line Experiment fixed or random link delays

  27. Loop Experiment fixed link delays

  28. Wheel Experiment fixed link delays

  29. IBGP Full Mesh Experiment fixed link delays

  30. EBGP Full Mesh Experiment fixed link delay

  31. Grid Experiment fixed link delay, width=10, no policy

  32. Preliminary Observations • Convergence time related to number of alternate paths a router sees • policy helps reduce • Agreement with previous results • full mesh experiments in particular • Full external mesh still the most interesting • how many alternate paths are actually “seen” depends a lot on timing • using random link delays reduced convergence time

  33. Coming Soon … • Functionality • aggregation • route flap dampening • communities • confederations • and more ... • Experiments • look for better timer values • how does policy affect convergence? • can we improve route flap dampening? • test extensions and other proposed modifications • and more …

  34. For Further Information SSF/Raceway and SSFNet: http://www.ssfnet.org/ SSF.OS.BGP4: http://www.cs.dartmouth.edu/~beej/research/bgp/java/ (or follow link from www.ssfnet.org)

  35. This sample DML code configures an AS with a single router running BGP. It performs explicit configuration of all BGP attributes. It is taken from the ‘goodgadget’ validation test. (continued next page) Net [ id 1 AS_status boundary router [ id 1 graph [ ProtocolSession [ name bgp use SSF.OS.BGP4.BGPSession autoconfig false connretry_time 120 min_as_orig_time 15 reflector false neighbor [ as 0 address 1(1) use_return_address 1(1) hold_time 90 keep_alive_time 30 min_adver_time 30 infilter [ # give low priority to routes learned from 0 clause [ precedence 1 predicate [] action [ primary permit atom [ attribute local_pref type set value 80 ] ] ] ] outfilter [ _extends .filters.permit_all ] ]

  36. neighbor [ as 2 address 1(2) use_return_address 1(2) hold_time 90 keep_alive_time 30 min_adver_time 30 infilter [ # give high priority to routes learned from 2 clause [ precedence 1 predicate [] action [ primary permit atom [ attribute local_pref type set value 100 ] ] ] ] outfilter [ _extends .filters.permit_all ] ] neighbor [ as 3 address 1(2) use_return_address 1(3) hold_time 90 keep_alive_time 30 min_adver_time 30 infilter [ # deny all routes learned from 3 clause [ precedence 1 predicate [] action [ primary deny ] ] ] outfilter [ _extends .filters.permit_all ] ] ] ProtocolSession [ name socket use SSF.OS.Socket.socketMaster ] ProtocolSession [ name tcp use SSF.OS.TCP.tcpSessionMaster ] ProtocolSession [ name ip use SSF.OS.IP ] ] interface [ idrange [ from 0 to 3 ] ] ] host [ id 101 _extends .basic_host ] link [ attach 1(0) attach 101(0) delay 0.001 ] ]

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