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22nd International Conference on Data Engineering (ICDE'06)
VBI-Tree: A Peer-to-Peer Framework for Supporting Multi-Dimensional Indexing Schemes
Atlanta, Georgia
April 03-April 07
ISBN: 0-7695-2570-9
H. V. Jagadish, University of Michigan
Beng Chin Ooi, NUS, Singapore
Quang Hieu Vu, NUS, Singapore
Rong Zhang, Fudan University, China
Aoying Zhou, Fudan University, China
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 Peerto- 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, SSTree, 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.
Citation:
H. V. Jagadish, Beng Chin Ooi, Quang Hieu Vu, Rong Zhang, Aoying Zhou, "VBI-Tree: A Peer-to-Peer Framework for Supporting Multi-Dimensional Indexing Schemes," icde, pp.34, 22nd International Conference on Data Engineering (ICDE'06), 2006
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