A Novel Incentive Consistent Peer Selection Mechanism

DOI

10.2991/iske.2007.62How to use a DOI?

Keywords

P2P, Incentive consistent, Game theory, Qos

Abstract

The typical methods proposed to improve the Qos (Quality of Service) of streaming are discussed on two aspects: peer selection and data assignment. Since most of the recent peer selection mechanisms used in streaming system hasn’t taken peer’s historical behavior into account, this paper introduced a novel incentive consistent peer selection mechanism and a novel peer selection algorithm based on bidding model in game theory. And the experimental results showed that the novel incentive consistent peer selection algorithm was better than other algorithm used in P2P media streaming service

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hui Zhao
AU  - Xingwei Liu
PY  - 2007/10
DA  - 2007/10
TI  - A Novel Incentive Consistent Peer Selection Mechanism
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 369
EP  - 372
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.62
DO  - 10.2991/iske.2007.62
ID  - Zhao2007/10
ER  -