1 / 30

Interdomain Routing as Social Choice

Interdomain Routing as Social Choice. Ronny R. Dakdouk, Semih Salihoglu, Hao Wang, Haiyong Xie, Yang Richard Yang Yale University IBC ’ 06. Outline. Motivation A social choice model for interdomain routing Implications of the model Summary & future work. Motivation.

Download Presentation

Interdomain Routing as Social Choice

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Interdomain Routing as Social Choice Ronny R. Dakdouk, Semih Salihoglu, Hao Wang, Haiyong Xie, Yang Richard Yang Yale University IBC’06

  2. Outline • Motivation A social choice model for interdomain routing • Implications of the model • Summary & future work

  3. Motivation • Importance of Interdomain Routing • Stability • excessive churns can cause router crash • Efficiency • routes influence latency, loss rate, network congestion, etc. • Why policy-based routing? • Domain autonomy: Autonomous System (AS) • Traffic engineering objectives: latency, cost, etc.

  4. BGP • The de facto interdomain routing protocol of the current Internet • Support policy-based, path-vector routing • Path propagated from destination • Import & export policy • BGP decision process selects path to use • Local preference value • AS path length • and so on…

  5. Previous Studies • Policy Disputes (Dispute Wheels) may cause instability [Griffien et al. ‘99] • Economic/Business considerations may lead to stability [Gao & Rexford ‘00] • Interdomain Routing for Traffic Engineering [Wang et al. ‘05] • Design incentive-compatible mechanisms [Feigenbaum et al. ‘02]

  6. What’s Missing • Efficiency (e.g., Pareto optimality) • Previous studies focus on BGP-like protocols • Increasing concern about extension of BGP or replacement (next-generation protocol) • Need a systematic methodology • Identify desired properties • Feasibility + Implementation • Implementation in strategic settings • Autonomous System may execute the protocol strategically so long as the strategic actions do not violate the protocol specification!

  7. AS 1 Preference Interdomain Routing Protocol AS 1 Route ..... ..... AS N Preference AS N Route Our approach - A Black Box View of Interdomain Routing • An interdomain routing system defines a mapping (a social choice rule) • A protocol implements this mapping • Social choice rule + Implementation

  8. Outline • Motivation A social choice model for interdomain routing • Implications of the model • Summary & future work

  9. A Social Choice Model for Interdomain Routing • What’s the set of players? • This is easy, the ASes are the players • What’s the set common of outcomes? • Difficulty • AS cares about its own egress route, possibly some others’ routes, but not most others’ routes • The theory requires a common set of outcomes • Solution • Use routing trees or sink trees as the unifying set of outcomes

  10. Routing Trees (Sink Trees) • Each AS i = 1, 2, 3 has a route to the destination (AS 0) • T(i) = AS i’s route to AS 0 • Consistency requirement: • If T(i) = (i, j) P, then T(j) = P A routing tree

  11. Realizable Routing Trees • Not all topologically consistent routing trees are realizable • Import/Export policies • The common set of outcomes is the set of realizable routing trees

  12. Local Routing Policies as Preference Relations • How does this work? • Example: The preference of AS i depends on its own egress route only, say, r1 > r2 • The equivalent preference: AS i is indifferent to all outcomes in which it has the same egress route • E.g: If T1(i) = r1, T2(i) = r2, T3(i) = r2, then T1 >i T2 =i T3

  13. Local Routing Policies as Preference Relations (cont’) • Not just a match of theory • Can express more general local policies • Policies that depend not only on egress routes of the AS itself, but also incoming traffic patterns • AS 1 prefers its customer 3 to send traffic through it, so T1 >1 T2

  14. Preference Domains • All possible combinations of preferences of individual ASes • Traditional preference domains: • Unrestricted domain • Unrestricted domain of strict preferences • Two special domains in interdomain routing • The domain of unrestricted route preference • The domain of strict route preference

  15. Preference Domains (cont’) • The domain of unrestricted route preference • Requires: If T1(i) = T2(i), then T1 =i T2 • Intuition: An AS cares only about egress routes • The domain of strict route preference • Requires: If T1(i) = T2(i), then T1 =i T2 • Also requires: if T1(i)  T2(i) then T1 i T2 • Intuition: An AS further strictly differentiates between different routes

  16. Interdomain Social Choice Rule (SCR) • An interdomain SCR is a mapping: • F: R=(R1,...,RN)  P  F(R) A • F incorporates the criteria of which routing tree(s) are deemed “optimal”– F(R)

  17. An example

  18. Some Desirable Properties of Interdomain Routing SCR • Non-emptiness • All destinations are always reachable • Uniqueness • No oscillations possible • (Strong) Pareto optimality • Efficient routing decision • Non-dictatorship • Retain AS autonomy

  19. Protocol as Implementation • No central authority for interdomain routing • ASes execute routing protocols • Protocol specifies syntax and semantics of messages • May also specify some actions that should be taken for some events • Still leaves room for policy-specific actions <- strategic behavior here! • Therefore, a protocol can be modeled as implementation of an interdomain SCR

  20. AS 1 Preference Interdomain Routing Protocol AS 1 Route ..... ..... AS N Preference AS N Route The Model in a Nutshell • An interdomain routing system defines a mapping (a social choice rule) • A protocol implements this mapping • Social choice rule + Implementation

  21. Implications of the Model • Some results from literature • A case study of BGP from the social choice perspective

  22. Some Results from Literature • On the unrestricted domain • No non-empty SCR that is non-dictatorial, strategy-proof, and has at least three possible routing trees as outcomes [Gibbard’s non-dominance theorem] • On the unrestricted route preference domain • No non-constant, single-valued SCR that is Nash-implementable • No strong-Pareto optimal and non-empty SCR that is Nash-implementable

  23. A Case Study of BGP AS 1 Preference Routing Tree BGP ..... ..... AS N Preference

  24. Reverse engineering BGP • Non-emptiness: X • Uniqueness: X • Non-dictatorship: X • Unanimity:  • Strong Pareto Optimality:  only on strict route preference domain

  25. BGP is Manipulable! • If AS 1 and 3 follow the default BGP decision process, then AS 2 has a better strategy • Following the default BGP decision process is not a Nash equilibrium!

  26. Possibility of fixing BGP • BGP is (theoretically) Nash implementable (actually, also strong implementable) • But, only in a very simple game form • The problem: the simple game form may not be followed by the ASes

  27. Summary • Viewed as a black-box, interdomain routing is an SCR + implementation • Strategic implementation requirements impose stringent constraints on SCRs • The greedy BGP strategy has its merit, but is manipulable

  28. What’s next? • Design of next-generation protocol (the goal!) • Stability, optimality, incentive-compatibility • Scalability • Scalability may serve as an aide (complexity may limit viable manipulation of the protocol) • A specialized theory of social choice & implementation for routing? • What is a reasonable preference domain to consider?

  29. Thank you! • Comments or Questions: hao.wang@yale.edu

  30. Thank you! • Comments or Questions: hao.wang@yale.edu

More Related