An Adaptive Resource-Based Probabilistic Search Algorithm for P2P Networks(Network)
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概要
- 論文の詳細を見る
A novel Adaptive Resource-based Probabilistic Search algorithm (ARPS) for P2P networks is proposed in this paper. ARPS introduces probabilistic forwarding for query messages according to the popularity of the resource being searched. A mechanism is introduced to estimate the popularity and adjust the forwarding probability accordingly such that a tradeoff between search performance and cost can be made. Using computer simulations, we compare the performance of ARPS with several other search algorithms. It is shown that ARPS performs well under various P2P scenarios. ARPS guarantees a success rate above a certain level under all circumstances, and enjoys high and popularity-invariant search success rate. Furthermore, ARPS adapts well to the variation of popularity, resulting in high efficiency and flexibility.
- 社団法人電子情報通信学会の論文
- 2007-07-01
著者
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ZHANG Lin
Department of Physics, Shandong University
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Li Victor
Department Of Electrical And Electronic Engineering University Of Hong Kong
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ZHANG Haoxiang
Department of Electronic Engineering, Tsinghua University
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SHAN Xiuming
Department of Electronic Engineering, Tsinghua University
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Zhang Lin
Department Of Electronic Engineering Tsinghua University
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Shan Xiuming
Department Of Electronic Engineering Tsinghua University
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Zhang Haoxiang
Department Of Electronic Engineering Tsinghua University
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Li Victor
Department Of Civil And Environmental Engineering University Of Michigan
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Zhang Lin
Department Of Biochemistry And Molecular Biology Nihon University School Of Dentistry At Matsudo
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Shan Xiuming
Department Of Electronic Engineering Of Tsinghua University
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