Title

Leveraging Computation Sharing And Parallel Processing In Location-Dependent Query Processing

Keywords

Continuous query; GPU; Graphical processing unit; Location-based services; Location-dependent query processing; Mobile database systems

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. © 2011 Springer Science+Business Media, LLC.

Publication Date

7-1-2012

Publication Title

Journal of Supercomputing

Volume

61

Issue

1

Number of Pages

215-234

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/s11227-011-0651-z

Socpus ID

84861983265 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84861983265

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