A cache-based search algorithm in unstructured P2P networks

Authors:
Yuhua Liu;Shishun Wu;Naixue Xiong;Jong Hyuk Park;Maoyuan Zhang
Affiliations:
Department of Computer Science, Huazhong Normal University, Wuhan, China 430079;Department of Computer Science, Huazhong Normal University, Wuhan, China 430079;Department of Computer Science, Fuzhou University, Fuzhou, China and Department of Computer Science, Georgia State University, Atlanta, USA;Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea;Department of Computer Science, Huazhong Normal University, Wuhan, China 430079
Venue:
Journal of Intelligent Manufacturing
Year:
2012

Citing 3
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Abstract

Peer-to-Peer (P2P) network is an important component to implement next generation Internet, how to quickly and efficiently search the resources in P2P networks has become one of the most critical issues, at the same time, this is one of greatest concern to users. This paper describes the basic Flooding Peer-to-Peer network search method, followed by analysis of several new search methods pros and cons, and then further analysis of these algorithms is proposed based on a cache-based search algorithm: When a node of the remaining load capacity is high, it will become the center node, and form a joint topology area with the nearby nodes together, then the center node and ordinary nodes also need to store the index cache, at the local region the overheating resources will be copied to the local (that is, the contents cache). The simulation shows that the algorithm can effectively improve the hit rates of resources searching, reduce the query delay.