Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05)
Towards Efficient and Scalable Searches for Mass-Market, Decentralized File-Sharing Applications
Dalian, China
December 05-December 08
ISBN: 0-7695-2405-2
Xinli Huang, Shanghai Jiao Tong University, Shanghai, China
Yin Li, Shanghai Jiao Tong University, Shanghai, China
Fei Liu, Shanghai Jiao Tong University, Shanghai, China
Fanyuan Ma, Shanghai Jiao Tong University, Shanghai, China
Unstructured Peer-to-Peer networks support uncoupled data placements, elaborate semantic queries and highly dynamic scenario. These properties make such systems extraordinary suitable for applications of mass-market decentralized file sharing, which is still the most dominant application currently in use on current P2P-powered systems. In this paper, we propose SSplus, a novel search algorithm extended from our previously developed Smart Search algorithm, focusing on improving the search efficiency and the network utilization in unstructured P2P file-sharing systems. We achieve these goals by introducing several novel techniques below as enhancements: (a) Load Balancing based on Free Availability, (b) Intelligent 2-Level Replication, and (c) Resources Booking and Reservation. Extensive simulations under realistic conditions substantiate significant performance gains of SSplus, compared with the original Smart Search algorithm.
Citation:
Xinli Huang, Yin Li, Fei Liu, Fanyuan Ma, "Towards Efficient and Scalable Searches for Mass-Market, Decentralized File-Sharing Applications," pdcat, pp.768-772, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005
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