HKUST Library Institutional Repository Banner

HKUST Institutional Repository >
Computer Science and Engineering >
CSE Conference Papers >

Please use this identifier to cite or link to this item:
Title: Popularity adaptive search in hybrid P2P systems
Authors: Shi, Xiaoqiu
Han, Jinsong
Liu, Yunhao
Ni, Lionel M.
Keywords: Peer-to-peer Computing
Adaptive search method
Distributed hash table
Issue Date: 2007
Citation: Proceedings 21st IEEE International Parallel and Distributed Processing Symposium, 26-30 March 2007, Long Beach, CA, USA
Abstract: 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) P2P systems. By dynamically detecting the content popularity, PASH properly selects search methods and efficiently saves query traffic cost and response time. We comprehensively evaluate PASH through synthetic and trace-driven simulations. The results show that PASH outperforms existing approaches and it also scales well.
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.
Appears in Collections:CSE Conference Papers

Files in This Item:

File Description SizeFormat
popular.pdf520KbAdobe PDFView/Open

All items in this Repository are protected by copyright, with all rights reserved.