Actions for Peer-to-Peer Query Processing over Multidimensional Data [electronic resource]

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Peer-to-Peer Query Processing over Multidimensional Data [electronic resource] / by Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg, Yannis Kotidis

Author
Vlachou, Akrivi
Published
New York, NY : Springer New York, 2012.
Physical Description
XII, 84 pages 18 illustrations : digital
Additional Creators
Doulkeridis, Christos, Nørvåg, Kjetil, Kotidis, Yannis, and SpringerLink (Online service)
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Series
Contents
Introduction -- Peer-to-Peer Systems -- System Overview -- Query Operators -- Similarity Search in Metric Spaces -- Subspace Skyline Queries -- Top-k queries -- Summary -- References.
Summary
Applications that require a high degree of distribution and loosely-coupled connectivity are ubiquitous in various domains, including scientific databases, bioinformatics, and multimedia retrieval. In all these applications, data is typically voluminous and multidimensional, and support for advanced query operators is required for effective querying and efficient processing. To address this challenge, we adopt a hybrid P2P architecture and propose novel indexing and query processing algorithms. We present a scalable framework that relies on data summaries that are distributed and maintained as multidimensional routing indices. Different types of data summaries enable efficient processing of a variety of advanced query operators.
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ISBN
9781461421108
Note
AVAILABLE ONLINE TO AUTHORIZED PSU USERS.
Part Of
Springer eBooks
View MARC record | catkey: 9370112