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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 Authors: Vlachou, Akrivi, Doulkeridis, Christos (Author), Nørvåg, Kjetil (Author), Kotidis, Yannis (Author)
Format: eBook
Language:English
Published: New York, NY Springer New York 2012, 2012
Edition:1st ed. 2012
Series:SpringerBriefs in Computer Science
Subjects:
Computer Networks 
Computer Engineering And Networks
Telecommunication
Communications Engineering, Networks
Computer Engineering
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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100 1 |a Vlachou, Akrivi 
245 0 0 |a Peer-to-Peer Query Processing over Multidimensional Data  |h Elektronische Ressource  |c by Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg, Yannis Kotidis 
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505 0 |a Introduction -- Peer-to-Peer Systems -- System Overview -- Query Operators -- Similarity Search in Metric Spaces -- Subspace Skyline Queries -- Top-k queries -- Summary -- References 
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653 |a Telecommunication 
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700 1 |a Doulkeridis, Christos  |e [author] 
700 1 |a Nørvåg, Kjetil  |e [author] 
700 1 |a Kotidis, Yannis  |e [author] 
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520 |a 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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