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Analysis of joint parallelism in wireless and cloud domains on mobile edge computing over 5G systems
- Source :
- Journal of Communications and Networks. 20:565-577
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
Abstract
- The realization of mobile edge computing (MEC) over emerging fifth (5G) generation of wireless systems arises as a driving-force in the future of cloud computing. In order to cope with the volume, variety, and velocity of the IoT traffic while making optimal use of the network infrastructure, a synergistic exploitation of MEC and 5G should be put forward to support advanced resource management applications. In this paper, we propose the use of joint parallelism between wireless and cloud domains to efficiently respond to mobile data deluge. We review the literature, discuss the enabling network architecture, potentials, challenges, and open issues related to the realization of such level of parallelism. We present and evaluate two design examples — parallel computation offload method (PCOM) and parallel transmission and storage method (PTSM)—which outline the benefits of parallelism for computation-hungry and storage-hungry applications, respectively. Results of our optimization formulation show that PCOM and PTSM are able to make an efficient use of the network resources and support a heavy instantaneous workload by means of the parallelism.
- Subjects :
- Network architecture
Mobile edge computing
Computer Networks and Communications
business.industry
Computer science
Mobile broadband
Distributed computing
020206 networking & telecommunications
Cloud computing
02 engineering and technology
Mobile cloud computing
0202 electrical engineering, electronic engineering, information engineering
Parallelism (grammar)
Wireless
020201 artificial intelligence & image processing
business
5G
Information Systems
Subjects
Details
- ISSN :
- 19765541 and 12292370
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Journal of Communications and Networks
- Accession number :
- edsair.doi...........c1e74cedfd9496be2e0901361036a504
- Full Text :
- https://doi.org/10.1109/jcn.2018.000089