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

Por: Colaborador(es): Tipo de material: TextoTextoSeries SpringerBriefs in Computer Science | SpringerBriefs in Computer ScienceEditor: New York, NY : Springer New York, 2012Descripción: XII, 84p. 18 illus. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9781461421108
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 621.382 23
Clasificación LoC:
  • TK1-9971
Recursos en línea:
Contenidos:
Springer eBooksResumen: 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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Introduction -- Peer-to-Peer Systems -- System Overview -- Query Operators -- Similarity Search in Metric Spaces -- Subspace Skyline Queries -- Top-k queries -- Summary -- References.

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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