DocumentCode :
3229558
Title :
An Efficient Hybrid P2P Incentive Scheme
Author :
Guan, Zhitao ; Durad, Muhammad Hanif ; Cao, Yuanda ; Zhu, Liehuang
Author_Institution :
Beijing Inst. of Technol., Beijing
Volume :
3
fYear :
2007
fDate :
July 30 2007-Aug. 1 2007
Firstpage :
377
Lastpage :
382
Abstract :
P2P systems have suffered a lot from free riding problem i.e. some participants consume more resources than they contribute. In order to deal with this problem efficiently, an incentive model based on peer credit has been proposed. Each peer in this model is a credit entity. Through introducing reward method to the model, peers will allocate resources according to the credits of requesting peers to maximize their own credits. A backtracking algorithm has been suggested to solve the issue of maximizing credit rewards. To avoid inflation of the credit, attenuation method is introduced. The scheme how to apply the credit model in hybrid P2P networks has also been elaborated in this work. The experimental results show that the model can effectively control free riding and improve efficiency of the system.
Keywords :
backtracking; peer-to-peer computing; resource allocation; P2P network incentive scheme; attenuation method; backtracking algorithm; free riding problem; peer credit model; resource allocation; Artificial intelligence; Attenuation; Computer science; Distributed computing; Feedback; Game theory; Incentive schemes; Peer to peer computing; Resource management; Software engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-2909-7
Type :
conf
DOI :
10.1109/SNPD.2007.180
Filename :
4287881
Link To Document :
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