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arXiv · 1206.2448

Pareto-optimal Nash equilibrium in capacity allocation game for self-managed networks

Dariusz Gcasior·Maciej Drwal
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Abstract

In this paper we introduce a capacity allocation game which models the problem of maximizing network utility from the perspective of distributed noncooperative agents. Motivated by the idea of self-managed networks, in the developed framework decision-making entities are associated with individual transmission links, deciding on the way they split capacity among concurrent flows. An efficient decentralized algorithm is given for computing strongly Pareto-optimal strategies, constituting a pure Nash equilibrium. Subsequently, we discuss the properties of the introduced game related to the Price of Anarchy and Price of Stability. The paper is concluded with an experimental study.

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BibTeXRIS

Dariusz Gcasior, Maciej Drwal. 2013-07-22. Pareto-optimal Nash equilibrium in capacity allocation game for self-managed networks. https://doi.org/10.1016/j.comnet.2013.06.012

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