Work place: Laboratory of Innovation in Mathematics, Applications, and Information Technology, Polydisciplinary Faculty, Sultan Moulay Slimane University, Beni Mellal, 23000, Morocco
E-mail: marouane.myyara@usms.ac.ma
Website:
Research Interests:
Biography
Marouane Myyara received his B.Sc. in Electronic and Telecommunication Engineering in 2019 and M.Sc. in Telecommunication Systems and Computer Networks in 2021 from Sultan Moulay Slimane University, Beni Mellal, Morocco. He is currently a Ph.D. candidate at the Laboratory of Innovation in Mathematics, Applications, and Information Technology, Polydisciplinary Faculty, Sultan Moulay Slimane University, Morocco. His current research focuses on improving the performance of Multi-Access Edge Computing Networks, Cloud Computing, Computation Offloading, and the Internet of Things (IoT).
By Marouane Myyara Oussama Lagnfdi Anouar Darif Abderrazak Farchane
DOI: https://doi.org/10.5815/ijcnis.2024.04.01, Pub. Date: 8 Aug. 2024
Multi-access Edge Computing optimizes computation in proximity to smart mobile devices, addressing the limitations of devices with insufficient capabilities. In scenarios featuring multiple compute-intensive and delay-sensitive applications, computation offloading becomes essential. The objective of this research is to enhance user experience, minimize service time, and balance workloads while optimizing computation offloading and resource utilization. In this study, we introduce dynamic computation offloading algorithms that concurrently minimize service time and maximize the quality of experience. These algorithms take into account task and resource characteristics to determine the optimal execution location based on evaluated metrics. To assess the positive impact of the proposed algorithms, we employed the Edgecloudsim simulator, offering a realistic assessment of a Multi-access Edge Computing system. Simulation results showcase the superiority of our dynamic computation offloading algorithm compared to alternatives, achieving enhanced quality of experience and minimal service time. The findings underscore the effectiveness of the proposed algorithm and its potential to enhance mobile application performance. The comprehensive evaluation provides insights into the robustness and practical applicability of the proposed approach, positioning it as a valuable solution in the context of MEC networks. This research contributes to the ongoing efforts in advancing computation offloading strategies for improved performance in edge computing environments.
[...] Read more.Subscribe to receive issue release notifications and newsletters from MECS Press journals