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18 - Routing Games

from III - Quantifying the Inefficiency of Equilibria

Published online by Cambridge University Press:  31 January 2011

Tim Roughgarden
Affiliation:
Department of Computer Science Stanford University
Noam Nisan
Affiliation:
Hebrew University of Jerusalem
Tim Roughgarden
Affiliation:
Stanford University, California
Eva Tardos
Affiliation:
Cornell University, New York
Vijay V. Vazirani
Affiliation:
Georgia Institute of Technology
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Summary

Abstract

This chapter studies the inefficiency of equilibria in noncooperative routing games, in which self-interested players route traffic through a congested network. Our goals are threefold: to introduce the most important models and examples of routing games; to survey optimal bounds on the price of anarchy in these models; and to develop proof techniques that are useful for bounding the inefficiency of equilibria in a range of applications.

Introduction

A majority of the current literature on the inefficiency of equilibria concerns routing games. One reason for this popularity is that routing games shed light on an important practical problem: how to route traffic in a large communication network, such as the Internet, that has no central authority. The routing games studied in this chapter are relevant for networks with “source routing,” in which each end user chooses a full route for its traffic, and also for networks in which traffic is routed in a distributed, congestion-sensitive manner. Section 18.6 contains further details on these applications.

This chapter focuses on two different models of routing games, although the inefficiency of equilibria has been successfully quantified in a range of others (see Section 18.6). The first model, nonatomic selfish routing, is a natural generalization of Pigou's example (Example 17.1) to more complex networks. The modifier “nonatomic” refers to the assumption that there are a very large number of players, each controlling a negligible fraction of the overall traffic.

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Publisher: Cambridge University Press
Print publication year: 2007

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  • Routing Games
  • Edited by Noam Nisan, Hebrew University of Jerusalem, Tim Roughgarden, Stanford University, California, Eva Tardos, Cornell University, New York, Vijay V. Vazirani, Georgia Institute of Technology
  • Book: Algorithmic Game Theory
  • Online publication: 31 January 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9780511800481.020
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  • Routing Games
  • Edited by Noam Nisan, Hebrew University of Jerusalem, Tim Roughgarden, Stanford University, California, Eva Tardos, Cornell University, New York, Vijay V. Vazirani, Georgia Institute of Technology
  • Book: Algorithmic Game Theory
  • Online publication: 31 January 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9780511800481.020
Available formats
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To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Routing Games
  • Edited by Noam Nisan, Hebrew University of Jerusalem, Tim Roughgarden, Stanford University, California, Eva Tardos, Cornell University, New York, Vijay V. Vazirani, Georgia Institute of Technology
  • Book: Algorithmic Game Theory
  • Online publication: 31 January 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9780511800481.020
Available formats
×