NDLI: Leveraging Computation Sharing and Parallel Processing in Location-Based Services

Content Provider	IEEE Xplore Digital Library
Author	Cazalas, J. Kien Hua
Copyright Year	2009
Abstract	A variety of research exists for the processing of continuous queries in large, mobile environments. Each method tries, in its own way, to address the computational bottleneck of constantly processing so many queries. In this paper, we introduce an efficient and scalable system for monitoring continuous queries by leveraging the parallel processing capability of the Graphics Processing Unit. We examine a naive CPU-based solution for continuous range-monitoring queries, and we then extend this system using the GPU. Additionally, with mobile communication devices becoming commodity, location-based services will become ubiquitous. To cope with the very high intensity of location-based queries, we propose a view oriented approach of the location database, thereby reducing computation costs by exploiting computation sharing amongst queries requiring the same view. Our studies show that by exploiting the parallel processing power of the GPU, we are able to significantly scale the number of mobile objects, while maintaining an acceptable level of performance.
Starting Page	221
Ending Page	228
File Size	592377
Page Count	8
File Format	PDF
ISBN	9781424453344
DOI	10.1109/CSE.2009.437
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-29
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pervasive computing continuous query graphical processing unit Relational databases mobile database systems GPU Nearest neighbor searches Concurrent computing Graphics Computer science Parallel processing location-based services Computational efficiency Mobile computing Monitoring
Content Type	Text
Resource Type	Article

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