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Popularity adaptive search in hybrid P2P systems

Authors Shi, Xiaoqiu
Han, Jinsong HKUST affiliated (currently or previously)
Liu, Yunhao View this author's profile
Ni, Lionel M. View this author's profile
Issue Date 2009
Source Journal of parallel and distributed computing , v. 69, (2), 2009, FEB, p. 125-134
Summary In a hybrid peer-to-peer (P2P) system, flooding and DHT are both employed for content locating. The decision to use flooding or DHT largely depends on the Population of desired data. Previous works either use local information only, or do not consider dynamic factors of P2P systems. In this paper. we propose a Popularity Adaptive Search method for Hybrid (PASH) protocol. By dynamically estimating the content popularity, PASH properly selects search methods so as to efficiently saves query traffic cost and response time. We evaluate PASH through synthetic and trace-driven simulations. The results show that PASH Outperforms existing approaches and it also scales well. (C) 2008 Published by Elsevier Inc.
ISSN 0743-7315
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Language English
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