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This paper studies the scalable management of XML data in P2P networks based on Distributed Hash Tables (DHTs). Performance limitations are identified in this context, and an array of techniques to lift them is proposed. First, the authors adapt the DHT platform's index store and communication primitives to the needs of massive data processing. Second, the paper introduces a distributed hierarchical index and associated efficient algorithms to speed up query processing. Third, the paper presents an innovative, XMLspecific flavor of Bloom filters, to reduce data transfers entailed by query processing. The authors approach is fully implemented in the KadoP system, used in a real-life software manufacturing application.

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Format:PDFSize:306 KB
Date:Nov 2007
Pages:10

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