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Random Order Congestion Games

Record type: Article

We introduce a new class of games, Random Order Congestion Games [ROCGs]. In an ROCG, each player has a task that can be carried out by any element of a set of resources, and each resource executes its assigned tasks in a random order. Each player's aim is to minimize his expected cost which is the sum of two terms---the sum of the fixed costs over the set of his utilized resources and the expected cost of his task execution. The cost of a player's task execution is determined by the earliest time his task is completed, and thus it might be beneficial for him to assign his task to several resources. We prove the existence of pure strategy Nash equilibria in ROCGs. Moreover, we present a polynomial time algorithm for finding such an equilibrium in a given ROCG.

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Citation

Penn, Michal, Polukarov, Maria and Tennenholtz, Moshe (2009) Random Order Congestion Games Mathematics of Operations Research, 34, (3), pp. 706-725.

More information

Published date: 2009
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 267944
URI: http://eprints.soton.ac.uk/id/eprint/267944
ISSN: 0364-765X
PURE UUID: 86336635-839d-4f01-95dd-056103bd1b23

Catalogue record

Date deposited: 23 Sep 2009 14:52
Last modified: 18 Jul 2017 06:58

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Contributors

Author: Michal Penn
Author: Maria Polukarov
Author: Moshe Tennenholtz

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