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Offloading Decisions in a Mobile Edge Computing Node with Time and Energy Constraints

Author(s)
Mohamed EL GHMARY Sidi Mohamed Ben Abdellah University,LIIAN Labo, FSDM, Fez,Morocco
Tarik CHANYOUR Sidi Mohamed Ben Abdellah University,LIIAN Labo, FSDM, Fez,Morocco
Youssef HMIMZ Sidi Mohamed Ben Abdellah University,LIIAN Labo, FSDM, Fez,Morocco
Mohammed Ouçamah CHERKAOUI MALKI Sidi Mohamed Ben Abdellah University,LIIAN Labo, FSDM, Fez,Morocco
Abstract
This article describes a simulated annealing based offloading decision with processing time, energy consumption and resource constraints in a Mobile Edge Computing Node. Edge computing mostly deals with mobile devices subject to constraints. Especially because of their limited processing capacity and the availability of their battery, these devices have to offload some of their heavy tasks, which require many calculations. We consider a single mobile device with a list of heavy tasks that can be offloadable. The formulated optimization problem takes into account both the dedicated energy capacity and the total execution time. We proposed a heuristic solution schema. To evaluate our solution, we performed a set of simulation experiments. The results obtained in terms of processing time and energy consumption are very encouraging.
Publication Details
Page(s) 101-107
DOI DOI not available
Published Journal: International Journal of Communication Networks and Information Security, Volume: 12, Issue: 1, Year: 2020

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Keywords
Computation Offloading, Mobile Edge Computing, Processing Time Optimization, Simulated Annealing
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