Performance Evaluation of Adaptive Probabilistic Search in P2P Networks
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概要
- 論文の詳細を見る
The overall performance of P2P-based file sharing applications is becoming increasingly important. Based on the Adaptive Resource-based Probabilistic Search algorithm (ARPS), which was previously proposed by the authors, a novel probabilistic search algorithm with QoS guarantees is proposed in this letter. The algorithm relies on generating functions to satisfy the users constraints and to exploit the power-law distribution in the node degree. Simulation results demonstrate that it performs well under various P2P scenarios. The proposed algorithm provides guarantees on the search performance perceived by the user while minimizing the search cost. Furthermore, it allows different QoS levels, resulting in greater flexibility and scalability.
- （社）電子情報通信学会の論文
- 2008-04-01
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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