Research Challenges in Query Processing and Data Analytics on the Edge

Blesson Varghese, Suprio Ray, Bhavesh N. Gohil, Sergio Vega

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

The accelerated growth of data has made efficient query processing and data analytics more important than ever. While the Cloud has provided an excellent underpinning solution to store, manage and process data, it is becoming increasingly difficult, as the Cloud necessitates sending all data that is generated by billions of user devices and sensors to distant data centres far away from the data source. This is expected to make query processing and data analytics challenging. This paper examines the challenges in developing pragmatic solutions for processing queries and performing analytics using the emerging Edge computing paradigm. In this paradigm, compute infrastructure is offered at the edge of the network, which is closer to the data source. A simulation study to highlight the advantages of Edge computing over the Cloud is presented.
Original languageEnglish
Title of host publication 29th Annual International Conference on Computer Science and Software Engineering 04/11/2019 → 06/11/2019 Toronto, Canada: Proceedings
PublisherAssociation for Computing Machinery
Pages317-322
Number of pages6
DOIs
Publication statusPublished - Nov 2019
Event29th Annual International Conference on Computer Science and Software Engineering - Toronto, Canada
Duration: 04 Nov 201906 Nov 2019
https://www-01.ibm.com/ibm/cas/cascon/

Conference

Conference29th Annual International Conference on Computer Science and Software Engineering
Abbreviated titleIBM CASCON
Country/TerritoryCanada
CityToronto
Period04/11/201906/11/2019
Internet address

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