Energy and Latency Minimization in a Mobile Edge Computing System

Mohamed El Ghmary, Youssef Hmimz, Tarik Chanyour, Mohammed Ouçamah Cherkaoui Malki

Abstract

Mobile Edge Computing (MEC) extends the Cloud Computing paradigm to the edge of the network, thus enabling a new breed of applications and services; hence it is considered as a promising technique to meet the demands of computing intensive and delay sensitive applications. This article describes the value for a trade off between processing time and energy in a MEC environment. The optimization problem formulated takes into account both the processing time and the dedicated energy capacity. To solve this problem we proposed a heuristic solution scheme. To evaluate our solution, we performed a comparative study with a brute force search solution. The results obtained are entirely very satisfactory.

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Paper Citation


in Harvard Style

Ghmary M., Hmimz Y., Chanyour T. and Cherkaoui Malki M. (2020). Energy and Latency Minimization in a Mobile Edge Computing System.In Proceedings of the 2nd International Conference on Advanced Technologies for Humanity - Volume 1: ICATH, ISBN 978-989-758-514-2, pages 186-191. DOI: 10.5220/0010432301860191


in Bibtex Style

@conference{icath20,
author={Mohamed El Ghmary and Youssef Hmimz and Tarik Chanyour and Mohammed Ouçamah Cherkaoui Malki},
title={Energy and Latency Minimization in a Mobile Edge Computing System},
booktitle={Proceedings of the 2nd International Conference on Advanced Technologies for Humanity - Volume 1: ICATH,},
year={2020},
pages={186-191},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010432301860191},
isbn={978-989-758-514-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Advanced Technologies for Humanity - Volume 1: ICATH,
TI - Energy and Latency Minimization in a Mobile Edge Computing System
SN - 978-989-758-514-2
AU - Ghmary M.
AU - Hmimz Y.
AU - Chanyour T.
AU - Cherkaoui Malki M.
PY - 2020
SP - 186
EP - 191
DO - 10.5220/0010432301860191