Enhance Peer-to-Peer Search with Usage Pattern Clustering
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 94 === Clustering strategy is useful to improve blind search problem in peer-to-peer network. However most clustering in peer-to-peer network focus on comparing semantic content, but analyzing transaction behavior – download and upload in file sharing system – called...
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| Format: | Others |
| Language: | en_US |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/77588762569427200737 |
| Summary: | 碩士 === 國立交通大學 === 資訊科學與工程研究所 === 94 === Clustering strategy is useful to improve blind search problem in peer-to-peer network. However most clustering in peer-to-peer network focus on comparing semantic content, but analyzing transaction behavior – download and upload in file sharing system – called usage pattern. Usage Pattern shows grouping behavior ascribed to users’ interest. Our work is to design a resource discovery flow with clusters constructed by usage pattern in the p2p environment, including usage frequency model (data transform work), clustering scheme, and search model. A connectivity-based distributed clustering algorithm called Asynchronous Spontaneous Clustering Scheme (ASC) is proposed to cope with the problem.
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