An efficient hybrid P2P incentive scheme

Zhitao Guan*, Muhammad Hanif Durad, Yuanda Cao, Liehuang Zhu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - SNPD 2007
Subtitle of host publicationEighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
Pages377-382
Number of pages6
DOIs
Publication statusPublished - 2007
EventSNPD 2007: 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Qingdao, China
Duration: 30 Jul 20071 Aug 2007

Publication series

NameProceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
Volume3

Conference

ConferenceSNPD 2007: 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
Country/TerritoryChina
CityQingdao
Period30/07/071/08/07

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