Research Article
SDI: A Swift Tree Structure for Multi-dimensional Data Indexing in Peer-to-Peer Networks
@INPROCEEDINGS{10.4108/infoscale.2007.908, author={Rong Zhang and Weining Qian and Minqi Zhou and Aoying Zhou}, title={SDI: A Swift Tree Structure for Multi-dimensional Data Indexing in Peer-to-Peer Networks}, proceedings={2nd International ICST Conference on Scalable Information Systems}, proceedings_a={INFOSCALE}, year={2010}, month={5}, keywords={multi-dimensional data peer-to-peer point query range query}, doi={10.4108/infoscale.2007.908} }- Rong Zhang
Weining Qian
Minqi Zhou
Aoying Zhou
Year: 2010
SDI: A Swift Tree Structure for Multi-dimensional Data Indexing in Peer-to-Peer Networks
INFOSCALE
ICST
DOI: 10.4108/infoscale.2007.908
Abstract
Efficient multi-dimensional data search has received much attention in centralized systems. However, its implementation in large-scale distributed systems is not a trivial job and remains to be a challenge. In this paper, SDI, a new succinct multi-dimensional balanced tree structure based on peer-to-peer technology, is presented. With SDI structure, the query efficiency can be bounded by O(log N). Compared with previous tree-based methods, SDI has extremely low maintenance cost. This is due to the carefully chosen finger links. Furthermore, new algorithms are designed for both point query and range query processing, which make SDI free from the root-bottleneck problem. Experimental results validate the efficiency and effectiveness of the proposed approach.
