Peer-to-Peer Query Processing over Multidimensional Data
(Sprache: Englisch)
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...
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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.
Inhaltsverzeichnis zu „Peer-to-Peer Query Processing over Multidimensional Data “
Introduction.- Peer-to-Peer Systems.- System Overview.- Query Operators.- Similarity Search in Metric Spaces.- Subspace Skyline Queries.- Top-k queries.- Summary.- References.
Bibliographische Angaben
- Autoren: Akrivi Vlachou , Yannis Kotidis , Kjetil Nørvåg , Christos Doulkeridis
- 2012, 1st Edition, XII, 84 Seiten, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1461421098
- ISBN-13: 9781461421092
- Erscheinungsdatum: 13.04.2012
Sprache:
Englisch
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