Abstract
Nowadays P2P information systems can be considered as large scale databases where all peers can store and query data in the network. Keywords and structure indexes must be maintained. However, indexing XML documents with massive set of words brings out a major problem: The number of entries to be shipped in the network is huge. We define Distributed Bloom Filter, a data structure derived from Bloom Filters, a probabilistic data structure to test whether an element is member of a set, to summarize peer XML content and structure. Our strength is to split the traditional Bloom Filter into several segments. We rely on a DHT network to distribute these segments in a P2P network. Our measurements show that our indexing method is scalable for a large number of words, and outperforms similar methods.
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Jamard, C., Gardarin, G., Yeh, L. (2007). Indexing Textual XML in P2P Networks Using Distributed Bloom Filters. In: Kotagiri, R., Krishna, P.R., Mohania, M., Nantajeewarawat, E. (eds) Advances in Databases: Concepts, Systems and Applications. DASFAA 2007. Lecture Notes in Computer Science, vol 4443. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71703-4_93
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DOI: https://doi.org/10.1007/978-3-540-71703-4_93
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71702-7
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