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Continually Answering Constraint k-NN Queries in unstructured p2p Systems

Journal of Computer Science & Technology 2008年第4期23卷 538-556页

作者：王斌杨晓春王国仁于戈陈雷王晓阳林学民 College of Information Science and Engineering Northeastern University Department of Computer Science The Hong Kong University of Science and Technology Department of Computer Science University of Vermont Department of Computer Science The University of New South Wales

We consider the problem of efficiently computing distributed geographical k-NN queries in an unstructured peer-to-peer （p2p） system, in which each peer is managed by an individual organization and can only communicate with its logical neighboring peers. Such queries are based on local filter query statistics, and require as less communication cost as possible which makes it more difficult than the existing distributed k-NN queries. Especially, we hope to reduce candidate peers and degrade communication cost. In this paper, we propose an efficient pruning technique to minimize the number of candidate peers to be processed to answer the k-NN queries. Our approach is especially suitable for continuous k-NN queries when updating peers, including changing ranges of peers, dynamically leaving or joining peers, and updating data in a peer. In addition, simulation results show that the proposed approach outperforms the existing Minimum Bounding Rectangle （MBR）-based query approaches, especially for continuous queries.

关键词： unstructured p2p k-NN queries answering queries constraints

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HDNBS: An approach for search in decentralized and unstructured p2p

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Journal of Harbin Institute of Technology(New Series) 2007年第5期14卷 629-633页

作者：贾兆庆尤晋元 Dept. of Computer Science and Engineering Shanghai Jiaotong University

Decentralized and unstructured peer-to-peer applications such as Gnutella are attractive because they require no centralized directories and no precise control over network topology or data placement. Search algorithm is the major component of the distributed system and its efficiency also does influence the systems performance. However the flooding-based query algorithm used in Gnutella produces huge traffic and does not scale well. Gnutella-like p2p topology has power-law characteristic, so a search algorithm was proposed based on high degree nodes of power-law network, High Degree Nodes-Based Search （HDNBS）. Extensive simulation results show that this algorithm performs on power-law networks very well, achieves almost 100% success rates, produces O（logN） messages per query and can locate target file within O（lagN） hops.

关键词： unstructured p2p search algorithm high degree walk power-law network

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