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A Scalable Multi-attribute Range Query Approach on Cluster-Based Hybrid Overlays

  • You-Fu Yu
  • Po-Jung Huang
  • Quan-Jie Chen
  • Tian-Liang Huang
  • Kuan-Chou Lai
Conference paper
  • 545 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6083)

Abstract

Resource discovery in distributed computing systems is a critical issue to find and retrieve distributed resources rapidly. In general, most of previous proposed strategies focus on developing keyword searching approaches with preserving system scalability. In this paper, we propose a cluster-based hybrid overlay, which supports efficient keyword searching with the highly churn rate. The cluster-based hybrid overlay groups the nodes with the same attributes to form unstructured attribute-groups, and then clusters these attribute-groups with similar attributes to form attribute-clusters. Our proposed hybrid overlay could provide efficient multi-attribute and range-query searches with load balancing in large-scale P2P networks. Experimental results show that the proposed overlay performs well.

Keywords

P2P Range query Multi-attribute Hybrid Overlay 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • You-Fu Yu
    • 1
  • Po-Jung Huang
    • 1
  • Quan-Jie Chen
    • 1
  • Tian-Liang Huang
    • 1
  • Kuan-Chou Lai
    • 1
  1. 1.Department of Computer and Information ScienceNational Taichung UniversityTaichungTaiwan, R.O.C.

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