| Abstract |
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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.
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 Additional Information
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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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