M-KAD: A Scalable Peer-to-Peer System for Similarity Search in Metric Space

Studies in Computational Intelligence(2009)

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摘要
Similarity search plays an important part in data management field. In this paper. we present a novel data driven distributed storage structure for similarity search in Metric Space. We use Kademlia based peer-to-peer architecture for data storage. and design effect algorithms for data indexing and similarity query. At the end of this paper, we prove the system performance by simulation experiments.
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关键词
simulation experiment,distributed storage,system performance,similarity search,data storage,data management,metric space
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