VBI-Tree: A peer-to-peer framework for supporting multi-dimensional indexing schemes

  • H. V. Jagadish*
  • , Beng Chin Ooi
  • , Quang Hieu Vu
  • , Kong Zhang
  • , Aoying Zhou
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

131 Scopus citations

Abstract

Multi-dimensional data indexing has received much attention in a centralized database. However, not so much work has been done on this topic in the context of Peer-to-Peer systems. In this paper, we propose a new Peer-to-Peer framework based on a balanced tree structure overlay, which can support extensible centralized mapping methods and query processing based on a variety of multidimensional tree structures, including R-Tree, X-Tree, SS-Tree, and M-Tree. Specifically, in a network with N nodes, our framework guarantees that point queries and range queries can be answered within O(logN) hops. We also provide an effective load balancing strategy to allow nodes to balance their work load efficiently. An experimental assessment validates the practicality of our proposal.

Original languageEnglish
Title of host publicationProceedings of the 22nd International Conference on Data Engineering, ICDE '06
PublisherIEEE Computer Society
Pages25-34
Number of pages10
ISBN (Print)0769525709, 9780769525709
DOIs
StatePublished - 2006
Externally publishedYes
Event22nd International Conference on Data Engineering, ICDE '06 - Atlanta, GA, United States
Duration: 3 Apr 20067 Apr 2006

Publication series

NameProceedings - International Conference on Data Engineering
Volume2006
ISSN (Print)1084-4627

Conference

Conference22nd International Conference on Data Engineering, ICDE '06
Country/TerritoryUnited States
CityAtlanta, GA
Period3/04/067/04/06

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