边缘计算与计算任务卸载分析综述

Tanzeel Zaidi, Samia Aziz, Muhammad Usman, Awais Azam, Adeel Ashraf Cheema, S. Ajmal
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引用次数: 1

摘要

由于延迟敏感型应用程序的兴起,延迟限制和能源消耗正在成为在移动设备上运行复杂应用程序的障碍。移动边缘计算(MEC)的基本技术之一是计算卸载,它弥补了移动设备在存储空间、计算能力和电池效率方面的局限性。MEC网络中的计算卸载方法目前是工业界和学术界广泛研究的课题,使用了各种有价值的技术和方法。本文对MEC环境下的计算任务卸载进行了详细的分析。本研究主要关注与众多卸载目标相关的基本挑战,如延迟时间、降低能耗、收益最大化和系统效用增强。
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Edge Computing and Computational Task Offloading Analysis – A review study
Delay constraints and energy consumption are becoming a barrier to running complex applications on mobile devices due to the rise of latency-sensitive applications. One of the fundamental technologies of Mobile Edge Computing (MEC), which compensates for the limitations of mobile devices in terms of storage space, computing power, and battery efficiency, is computation offloading. The computation offloading methods in MEC networks are now the subject of extensive study for both the industry and academia, using a variety of valuable techniques and methodologies. This paper provides a detailed analysis of computing task offloading in a MEC environment. This study focuses on essential challenges related to numerous offloading goals, such as delay time, energy consumption reduction, income maximization, and system utility enhancement.
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