DocumentCode
3009796
Title
An Incentive Scheme for Optimizing Network Performance in Structured P2P Networks
Author
Huang, Guowei ; Li, Zonghai ; Chen, Zhi ; Wu, Gongyi
Author_Institution
Dept. of Comput. Sci., Nankai Univ., Tianjin
fYear
2008
fDate
25-27 Sept. 2008
Firstpage
266
Lastpage
273
Abstract
Most structured peer-to-peer (P2P) networks assume that all nodes in the network are altruists. However, as the networks grow larger, they may include many selfish nodes, which leech resources from the network without contributing any in return. Therefore, the behaviors of selfish nodes will compromise the network performance. In this paper, we propose a fully distributed incentive scheme based on the concept of market, to encourage the cooperative behaviors and optimize the network performance concurrently. In the market, service providers price their services and allocate their bandwidth resource rationally for providing service, in order to maximize their revenues. Service consumers have the freedom to select the providers and have to pay for the services they consume. We prove that the optimal network performance can be achieved if each service provider uses appropriate service pricing and bandwidth allocation mechanism. Furthermore, our scheme provides incentive to encourage the use of such mechanism. Experiment results demonstrate the effectiveness of our scheme.
Keywords
bandwidth allocation; peer-to-peer computing; pricing; bandwidth allocation mechanism; incentive scheme; peer-to-peer networks; service pricing; structured P2P networks; Bandwidth; Channel allocation; Computer science; Data communication; High performance computing; Incentive schemes; Network servers; Peer to peer computing; Pricing; Resource management; bandwidth allocation; incentive scheme; market; network performance optimization; peer-to-peer; selfishness;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing and Communications, 2008. HPCC '08. 10th IEEE International Conference on
Conference_Location
Dalian
Print_ISBN
978-0-7695-3352-0
Type
conf
DOI
10.1109/HPCC.2008.32
Filename
4637707
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