Affiliation:
1. Purdue University, West Lafayette, IN
Abstract
Location-detection devices are used ubiquitously in moving objects due to the everyday decreasing cost and simplified technology. Usually, these devices will send the moving objects' location information to a spatio-temporal data stream management system that will be then responsible for answering spatio-temporal queries related to these moving objects. Most of the existing work focused on the continuous spatio-temporal query execution. However, several outstanding challenges have been either addressed partially or not at all in the existing literature. In this paper, we focus on the optimization of multi-predicate spatio-temporal queries on moving objects. In particular, we provide a costing mechanism for continuous spatio-temporal queries. We provide for the optimization of the parameters of the spatio-temporal operators. Finally, we propose the adaptive execution of the continuous queries for spatio-temporal data stream management systems.
Funder
Division of Information and Intelligent Systems
Publisher
Association for Computing Machinery (ACM)
Reference18 articles.
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2. A cost model for query processing in high dimensional data spaces
3. Spatio-temporal Histograms
Cited by
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