A network pricing game for selfish traffic |
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Authors: | Ara Hayrapetyan Éva Tardos Tom Wexler |
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Affiliation: | (1) Department of Computer Science, Cornell University, 4126 Upson Hall, Ithaca, NY 14853, USA |
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Abstract: | The success of the Internet is remarkable in light of the decentralized manner in which it is designed and operated. Unlike
small scale networks, the Internet is built and controlled by a large number of disparate service providers who are not interested
in any global optimization. Instead, providers simply seek to maximize their own profit by charging users for access to their
service. Users themselves also behave selfishly, optimizing over price and quality of service. Game theory provides a natural
framework for the study of such a situation. However, recent work in this area tends to focus on either the service providers
or the network users, but not both. This paper introduces a new model for exploring the interaction of these two elements,
in which network managers compete for users via prices and the quality of service provided. We study the extent to which competition
between service providers hurts the overall social utility of the system.
A preliminary version of this paper appeared in the proceedings of 24th annual ACM SIGACT-SIGOPS symposium on principles of
distributed computing, July 17–20, 2005, Las Vegas, Nevada, USA.
The work of Ara Hayrapetyan was supported in part by NSF ITR grant CCR-0325453. The work of éva Tardos was supported in part
by NSF grant CCR-0311333, ITR grant CCR-0325453, and ONR grant N00014-98-1-0589. The work of Tom Wexler was supported in part
by NSF ITR grant CCR-0325453. |
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Keywords: | Game theory Network pricing games Price of anarchy |
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