- Title
- Bringing Computation Closer toward the User Network: Is Edge Computing the Solution?
- Creator
- Ahmed, Ejaz; Ahmed, Arif; Yaqoob, Ibrar; Shuja, Junaid; Imran, Muhammad
- Date
- 2017
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/181200
- Identifier
- vital:15885
- Identifier
-
https://doi.org/10.1109/MCOM.2017.1700120
- Identifier
- ISBN:0163-6804 (ISSN)
- Abstract
- The virtually unlimited available resources and wide range of services provided by the cloud have resulted in the emergence of new cloud-based applications, such as smart grids, smart building control, and virtual reality. These developments, however, have also been accompanied by a problem for delay-sensitive applications that have stringent delay requirements. The current cloud computing paradigm cannot realize the requirements of mobility support, location awareness, and low latency. Hence, to address the problem, an edge computing paradigm that aims to extend the cloud resources and services and enable them to be nearer the edge of an enterprise's network has been introduced. In this article, we highlight the significance of edge computing by providing real-life scenarios that have strict constraint requirements on application response time. From the previous literature, we devise a taxonomy to classify the current research efforts in the domain of edge computing. We also discuss the key requirements that enable edge computing. Finally, current challenges in realizing the vision of edge computing are discussed. © 1979-2012 IEEE. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “ Muhammad Imran” is provided in this record**
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- IEEE Communications Magazine Vol. 55, no. 11 (2017), p. 138-144
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2017 IEEE
- Subject
- 4006 Communications Engineering; 4606 Distributed Computing and Systems Software
- Reviewed
- Funder
- This work is supported by the Deanship of Scientifc Research at King Saud University through Research group No. (RG # 1435-051). This work is also funded by the High Impact Research Grant from the University of Malaya under references UM.C/625/1/HIR/MOE/FCSIT/03 and RP012C-13AFR.
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