Convergence of best-response dynamics in games with conflicting congestion effects

Michal Feldman, Tami Tamir*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We study the model of resource allocation games with conflicting congestion effects that was introduced by Feldman and Tamir [9]. In this model, an agent's cost consists of its resource's load (which increases with congestion) and its share in the resource's activation cost (which decreases with congestion). The current work studies the convergence rate of best-response dynamics (BRD) in the case of homogeneous agents. Even within this simple setting, interesting phenomena arise. We show that, in contrast to standard congestion games with identical jobs and resources, the convergence rate of BRD under conflicting congestion effects might be super-linear in the number of jobs. Nevertheless, a specific form of BRD is proposed, which is guaranteed to converge in linear time.

Original languageEnglish
Pages (from-to)112-118
Number of pages7
JournalInformation Processing Letters
Volume115
Issue number2
DOIs
StatePublished - Feb 2015

Keywords

  • Algorithms
  • Best-response-dynamics
  • Congestion games
  • Convergence rate
  • Scheduling

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