A KNN Query Processing Algorithm over High-Dimensional Data Objects in P2P Systems

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 144)

Abstract

In this paper, we propose a quad-tree based distributed multi-dimensional data index (QDBI) for efficient data management and query processing in P2P system. In which, each peer use a MX-CIF quad-tree to generate index items of their high-dimensional data, and index items are organized into one dimensional ring structure, super-peers dynamically join the ring, the routing connections among super-peers are created, which are similar to Chord ring, thus forms a semantics-based structured super-peer network, and an efficient KNN query processing algorithm is proposed for high-dimensional data objects based on the index structure. Experiments show that the index structure and the KNN query algorithm have well search performance and scalability.

Keywords

KNN query MX-CIF quad tree High-dimensional data objects 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Baiyou Qiao
    • 1
  • Linlin Ding
    • 1
  • Yong Wei
    • 1
  • Xiaoyang Wang
    • 1
  1. 1.Information Science and Engineering SchoolNortheastern UniversityShenyangChina

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