SLUP: A Semantic-Based and Location-Aware Unstructured P2P Network
作者： Xin Sun , Kan Li , Yushu Liu , Yong Tian
DOI: 10.1109/HPCC.2008.49
关键词:
摘要: The topological properties of P2P overlay networks are the key factor that dominates performance search. Most systems construct logical topologies without considering underlying physical topology, which causes a serious topology mismatch between network and network. Thus location should be taken into account during construction networks. It can shorten length route in layer reduce bandwidth consumed. Furthermore, if nodes with semantic similarity shared resources clustered together, queries routed to semantically related peers, increase chances finding matching quickly. Based on these two characters, we propose Semantic-based location-aware unstructured Model (SLUP), domains according distance, domain groups similar resources. Simulation experiments show SLUP significantly latency searching process overhead.
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