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 language | English |
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Title of host publication | 29th Annual International Conference on Computer Science and Software Engineering 04/11/2019 → 06/11/2019 Toronto, Canada: Proceedings |
Publisher | Association for Computing Machinery |
Pages | 317-322 |
Number of pages | 6 |
DOIs | |
Publication status | Published - Nov 2019 |
Event | 29th Annual International Conference on Computer Science and Software Engineering - Toronto, Canada Duration: 04 Nov 2019 → 06 Nov 2019 https://www-01.ibm.com/ibm/cas/cascon/ |
Conference
Conference | 29th Annual International Conference on Computer Science and Software Engineering |
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Abbreviated title | IBM CASCON |
Country/Territory | Canada |
City | Toronto |
Period | 04/11/2019 → 06/11/2019 |
Internet address |