Detecting, Managing and Querying XML Replicas and Versions in Peer-to-Peer Environments

Deise de Brum SaccolNina EdelweissRenata de Matos Galante

Peer-to-Peer (P2P) systems seek to provide sharing of computational resources, which may be duplicated or versioned over several peers. Duplicate resources (i.e. replicas) are the key to better query performance and availability. On the other hand, multiple versions can be used to support queries on the lineage of resources and the evolution of history. However, traditional P2P systems are not aware of replicas and versions, which cause complexity at the logical level and inefficiency at the physical level. To solve these problems, we propose an environment for detecting, managing and querying replicas and versions of XML documents in a P2P context. The proposed version detection mechanism is based on Naïve Bayesian classifiers. Thus, our approach turns the detection problem into a classification problem. In this paper, we present the results of various experiments that show that our approach produces very good results, both in terms of recall and precision measures. The proposed environment can also be used for plagiarism detection, web page ranking, and software clone identification.

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