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.
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Qiao, B., Ding, L., Wei, Y., Wang, X. (2012). A KNN Query Processing Algorithm over High-Dimensional Data Objects in P2P Systems. In: Gaol, F., Nguyen, Q. (eds) Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science. Advances in Intelligent and Soft Computing, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28314-7_19
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DOI: https://doi.org/10.1007/978-3-642-28314-7_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28313-0
Online ISBN: 978-3-642-28314-7
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