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Challenges in spatiotemporal stream query optimization

Challenges in spatiotemporal stream query optimization

Content Provider	ACM Digital Library
Author	Ouzzani, Mourad Aref, Walid G. Elmongui, Hicham G.
Abstract	Simplified technology and low costs have spurred the use of location-detection devices in moving objects. Usually, these devices will send the moving objects' location information to a spatio-temporal data stream management system, which will be then responsible for answering spatio-temporal queries related to these moving objects. A large spectrum of research have been devoted to continuous spatio-temporal query processing. However, we argue that several outstanding challenges have been either addressed partially or not at all in the existing literature. In particular, in this paper, we focus on the optimization of multi-predicate spatio-temporal queries on moving objects. We present several major challenges related to the lack of spatio-temporal pipelined operators, and the impact of time, space, and their combination on the query plan optimality under different circumstances mof query and object distributions. We show that building an adaptive query optimization framework is key in addressing these challenges and coping with the dynamic nature of the environment we are evolving in.
Starting Page	27
Ending Page	34
Page Count	8
File Format	PDF
ISBN	1595934367
DOI	10.1145/1140104.1140111
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-06-25
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Spatio-temporal Multi-predicate Query optimization
Content Type	Text
Resource Type	Article

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