Peer-to-Peer Query Processing over Multidimensional Data, 2012 SpringerBriefs in Computer Science Series
Langue : Anglais
Auteurs : Vlachou Akrivi, Doulkeridis Christos, Nørvåg Kjetil, Kotidis Yannis
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.
Introduction.- Peer-to-Peer Systems.- System Overview.- Query Operators.- Similarity Search in Metric Spaces.- Subspace Skyline Queries.- Top-k queries.- Summary.- References.
Includes supplementary material: sn.pub/extras
Date de parution : 04-2012
Ouvrage de 84 p.
15.5x23.5 cm
Thèmes de Peer-to-Peer Query Processing over Multidimensional Data :
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