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DOI: 10.14569/IJACSA.2022.01312108
PDF

Multi-Task Multi-User Offloading in Mobile Edge Computing

Author 1: Nouhaila Moussammi
Author 2: Mohamed El Ghmary
Author 3: Abdellah Idrissi

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 12, 2022.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Mobile Edge Computing (MEC) is a new method to overcome the resource limitations of mobile devices by enabling Computation Offloading (CO) with low latency. This paper proposes a multi-user multi-task effective system to offload com-putations for MEC that guarantees in terms of energy, latency for MEC. To begin, radio and computation resources are integrated to ensure the efficient utilization of shared resources when there are multiple users. The energy consumed is positively correlated with the power of transmission and the local CPU frequency. The values can be adjusted to accommodate multi-tasking in order to minimize the amount of energy consumed. The current methods for offloading aren’t appropriate when multiple tasks and multiple users have high computing density. Additionally, this paper proposes a multi-user system that includes multiple tasks and high-density computing that is efficient. Simulations have confirmed the Multi-User Multi-Task Offloading Algorithm (MUMTOD). The results in terms of execution time and energy consumption are extremely positive. This improves the effectiveness of offloading as well as reducing energy consumption.

Keywords: Time execution; energy consumption; computation offloading; mobile edge computing

Nouhaila Moussammi, Mohamed El Ghmary and Abdellah Idrissi, “Multi-Task Multi-User Offloading in Mobile Edge Computing” International Journal of Advanced Computer Science and Applications(IJACSA), 13(12), 2022. http://dx.doi.org/10.14569/IJACSA.2022.01312108

@article{Moussammi2022,
title = {Multi-Task Multi-User Offloading in Mobile Edge Computing},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.01312108},
url = {http://dx.doi.org/10.14569/IJACSA.2022.01312108},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {12},
author = {Nouhaila Moussammi and Mohamed El Ghmary and Abdellah Idrissi}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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