Title :
A Novel P2P Network Model for Cloud Computing Based on Game Theory
Author :
Qi, ShouQing ; Yang, Lei ; Xu, HaiMei ; Qi, LongChen
Author_Institution :
Chongqing Commun. Coll., Chongqing, China
Abstract :
In this paper, a novel P2P network model for cloud computing is proposed to prevent the "calculation capacity" from being controlled by a few tycoons. The common users can become a part of "cloud" by joining as nodes. To solve "free-ride" and "the tragedy of commons" arising from p2p network model, "cloud" is divided into many clusters, and the incentive mechanism of the optimal Pareto game theory is taken in each cluster as well as supervision game theory is among clusters. In this way, nodes are made more active and contributive, and shared resources of cloud computing can be realized.
Keywords :
Pareto optimisation; cloud computing; game theory; peer-to-peer computing; resource allocation; P2P network model; calculation capacity; cloud clusters; cloud computing; free-ride problem; incentive mechanism; optimal Pareto game theory; resource sharing; supervision game theory; the tragedy of commons problem; Bandwidth; Cloud computing; Computational modeling; Computers; Game theory; Peer to peer computing; Resource management; P2P; cloud computing; game theory;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.409