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17th International Conference on Database and Expert Systems Applications (DEXA'06)
Processing of Multiple Long-Running Queries in LargeScale Geo-Data Repositories
Krakow, Poland
September 04-September 08
ISBN: 0-7695-2641-1
Wee Hyong Tok, National University of Singapore
Stephane Bressan, National University of Singapore
One of the main challenges of large-scale information mediation and warehousing is the efficient and resourceeffective processing of continuous queries. Continuous queries monitor streams of incoming data and produce results on-the-fly. They are usually long-running, yet need to be removed from the system when they become obsolete. We present a framework and the corresponding algorithms and data-structures for the efficient evaluation of multiple longrunning spatial queries over unbounded streams of spatial data and the management of obsolete queries. Using both real-life and synthetic datasets and workloads, we show that our proposed approach achieves significant improvements over standard approaches.
Citation:
Wee Hyong Tok, Stephane Bressan, "Processing of Multiple Long-Running Queries in LargeScale Geo-Data Repositories," dexa, pp.627-631, 17th International Conference on Database and Expert Systems Applications (DEXA'06), 2006
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