Peer-to-peer query processing over multidimensional data /

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...

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Bibliographic Details
Main Author: Vlachou, Akrivi (Author)
Corporate Author: SpringerLink (Online service)
Other Authors: Doulkeridis, Christos, Kotidis, Yannis
Format: eBook
Language:English
Published: New York, NY Springer New York 2012.
Series:SpringerBriefs in Computer Science
Subjects:
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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.
Physical Description:1 online resource (XII, 84 pages) 18 illustration. digital.
ISBN:9781461421108
ISSN:2191-5768