Quality of Experience Improvement and Service Time Optimization through Dynamic Computation Offloading Algorithms in Multi-access Edge Computing Networks

Q1 Mathematics
Marouane Myyara, Oussama Lagnfdi, A. Darif, Abderrazak Farchane
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引用次数: 0

Abstract

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.
通过多接入边缘计算网络中的动态计算卸载算法提高体验质量和优化服务时间
多接入边缘计算优化了智能移动设备附近的计算,解决了设备能力不足的限制。在具有多个计算密集型和延迟敏感型应用的场景中,计算卸载变得至关重要。本研究的目标是在优化计算卸载和资源利用的同时,提升用户体验,最大限度地缩短服务时间,平衡工作负载。在本研究中,我们引入了动态计算卸载算法,可同时最大限度地缩短服务时间和提高体验质量。这些算法考虑了任务和资源特征,根据评估指标确定最佳执行位置。为评估所提算法的积极影响,我们采用了 Edgecloudsim 仿真器,对多接入边缘计算系统进行了真实评估。仿真结果表明,与其他算法相比,我们的动态计算卸载算法更胜一筹,既提高了体验质量,又缩短了服务时间。研究结果强调了所提算法的有效性及其提高移动应用性能的潜力。综合评估深入揭示了所提方法的稳健性和实际适用性,将其定位为 MEC 网络背景下有价值的解决方案。这项研究有助于推进计算卸载策略,提高边缘计算环境的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.10
自引率
0.00%
发文量
33
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