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Peer-to-Peer Query Processing over Multidimensional Data

  • Book
  • © 2012

Overview

Authors:
  1. Akrivi Vlachou

    1. Science and Technology, Computer and Information Science, Norwegian University of, Trondheim, Norway

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  2. Christos Doulkeridis

    1. Science and Technology, Computer and Information Science, Norwegian University of, Trondheim, Norway

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  3. Kjetil Nørvåg

    1. Science and Technology, Computer and Information Science, Norwegian University of, Trondheim, Norway

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  4. Yannis Kotidis

    1. Economics and Business, Informatics, Athens University of, Athens, Greece

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Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xii
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  2. Introduction

    • Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg, Yannis Kotidis
    Pages 1-3

  3. Peer-to-Peer Systems

    • Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg, Yannis Kotidis
    Pages 5-11

  4. System Overview

    • Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg, Yannis Kotidis
    Pages 13-22

  5. Query Operators

    • Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg, Yannis Kotidis
    Pages 23-30

  6. Similarity Search in Metric Spaces

    • Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg, Yannis Kotidis
    Pages 31-42

  7. Subspace Skyline Queries

    • Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg, Yannis Kotidis
    Pages 43-61

  8. Top-k queries

    • Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg, Yannis Kotidis
    Pages 63-72

  9. Summary

    • Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg, Yannis Kotidis
    Pages 73-75

  10. Back Matter

    Pages 77-84
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Keywords

About this book

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.

Authors and Affiliations

  • Science and Technology, Computer and Information Science, Norwegian University of, Trondheim, Norway

    Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg

  • Economics and Business, Informatics, Athens University of, Athens, Greece

    Yannis Kotidis

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