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- W2145655233 abstract "Efficient resource search in large-scale unstructured peer-to-peer (P2P) systems remains a fundamental challenge. In order to improve search performance, interest-based search is a good way to tackle the challenge. However, the existing interest-based search algorithms pay attention to user interest model and search history, but ignore some influence factors of improving performance. In this paper, through analysis of node’s multi-dimensional quality-of-service (QoS) for search, it is found that node state’s information is essential for improving search performance. So a State-Based Search (SBS) strategy is presented by improving Sripanidkulchai’s interest-based search model, where Node’s state evaluation is based on node’s QoS fuzzification. The SBS enhances the methods of shortcuts adding, ranking and selecting, and state’s life-cycle is predicted by grey theory. The experimental results show that the SBS can improve performance by reducing search response time and achieving load balance." @default.
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- W2145655233 date "2010-01-01" @default.
- W2145655233 modified "2023-09-26" @default.
- W2145655233 title "State-Based Search Strategy in Unstructured P2P" @default.
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- W2145655233 doi "https://doi.org/10.1109/isorc.2010.42" @default.
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