GEDS: GPU execution of continuous queries on spatio-temporal data streams

dc.contributor.authorCazalas, Jonathan
dc.contributor.authorGuha, Ratan
dc.date.accessioned2022-06-25T18:28:56Z
dc.date.available2022-06-25T18:28:56Z
dc.date.issued2010
dc.description.abstractMuch research exists for the efficient processing of spatio-temporal data streams. However, all methods ultimately rely on an ill-equipped processor, namely a CPU, to evaluate concurrent, continuous spatio-temporal queries over these data streams. This paper presents GEDS, a scalable, Graphics Processing Unit (GPU)-based framework for the evaluation of continuous spatio-temporal queries over spatio-temporal data streams. GEDS employs the computation sharing and parallel processing paradigms to deliver scalability in the evaluation of continuous spatio-temporal queries. The GEDS framework utilizes the parallel processing capability of the GPU, a stream processor by trade, to handle the computation required in this application. Experimental evaluation shows promising performance and shows the scalability and efficacy of GEDS in spatio-temporal data streaming environments.en_US
dc.identifier.citationCazalas, J., & Gatan, R. (2010, December 11-13). GEDS: GPU execution of continuous queries on spatio-temporal data streams [Conference paper]. 2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, Hong Kong, China. https://www.doi.org/10.1109/EUC.2010.26en_US
dc.identifier.doihttps://doi.org/10.1109/EUC.2010.26
dc.identifier.urihttp://hdl.handle.net/11416/651
dc.identifier.urihttps://doi.org/10.1109/EUC.2010.26
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.subjectSpatio-temporal data streamsen_US
dc.subjectGEDSen_US
dc.subjectGraphics processing unitsen_US
dc.titleGEDS: GPU execution of continuous queries on spatio-temporal data streamsen_US
dc.title.alternativeGPU execution of continuous queries on spatio-temporal data streamsen_US
dc.typeOtheren_US

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