P2P-based multidimensional indexing methods: A survey

  • Authors:

  • Chong Zhang;Weidong Xiao;Daquan Tang;Jiuyang Tang

  • Affiliations:

  • C4ISR Technology National Defense Science and Technology Key LAB, National University of Defense Technology, Changsha 410073, PR China;C4ISR Technology National Defense Science and Technology Key LAB, National University of Defense Technology, Changsha 410073, PR China;C4ISR Technology National Defense Science and Technology Key LAB, National University of Defense Technology, Changsha 410073, PR China;C4ISR Technology National Defense Science and Technology Key LAB, National University of Defense Technology, Changsha 410073, PR China

  • Venue:
  • Journal of Systems and Software
  • Year:
  • 2011

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Abstract

P2P-based multidimensional index (MI) is a hotspot which absorbs many researchers to dedicate them into. However, no summarization or review on this technology has been made at present. To the best of our knowledge, this is the first work on reviewing P2P-based MI. This paper innovatively adopts visualization technique to show the research groups and then analyzes investigating style of research groups. Based on evolution of P2P-based MI inheriting from centralized MI and P2P, we divide P2P-based MI methods into 4 categories: extending centralized MI, extending P2P, combining centralized MI and P2P, and miscellaneous. For each category, the paper selects classical techniques and describes them in detail. This is the first time of doing the classification job over massive related works. Finally, load balancing and update strategies are described and discussed for they are important factors related to performance. We believe many researchers will get benefits from our work for further studies.