Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/2913

Popularity adaptive search in hybrid P2P systems

Authors Shi, Xiaoqiu
Han, Jinsong
Liu, Yunhao
Ni, Lionel M.
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.
Subjects
DHT
ISSN 0743-7315
Rights © 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Language English
Format Article
Access View full-text via DOI
View full-text via Web of Science
View full-text via Scopus
Find@HKUST
Files in this item:
File Description Size Format
popular.pdf 532717 B Adobe PDF