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
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