Survey on Multiple Methods for Task Offloading in Mobile Cloud-Edge Environment

IF 1.2 3区计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Journal of Computer Science and Technology Pub Date : 2023-06-15 DOI:10.57237/j.cst.2023.03.001

Tan Runti, Longxin Zhang, Minghui Ai, Zeng Wenliang, Jingsheng Chen

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引用次数: 0

Abstract

: Mobile edge computing (MEC) is an emerging technology that extends cloud computing to the edge of the network. It offloads computing intensive tasks to the edge server to solve the problem of insufficient computing power and resource of the terminal device, meets the low energy consumption and low latency requirements of the mobile user for application task computing, and greatly releases the pressure of the cloud center. Cloud-edge integration architecture has become a trend. How to perform optimal offload scheduling for terminal tasks has always been one of the key issue in the field of MEC research. This paper reviews the research directions and achievements of task offloading technology in today’s cloud-edge environment. First, the development status of MEC environment and task offloading technology are introduced, and the concepts and applications of classic schemes such as heuristic algorithm, metaheuristic algorithm, and reinforcement learning are elaborated. Based on the mainstream solutions in the research literature, two types of task offloading solutions are summarized: traditional task offloading solutions based on algorithm optimization and

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移动云边缘环境下多种任务卸载方法研究

移动边缘计算(MEC)是一种将云计算扩展到网络边缘的新兴技术。将计算密集型任务卸载到边缘服务器，解决终端设备计算能力和资源不足的问题，满足移动用户对应用任务计算的低能耗、低时延要求，极大地释放了云中心的压力。云边缘集成架构已经成为一种趋势。如何对终端任务进行最优卸载调度一直是MEC研究领域的关键问题之一。本文综述了当前云边缘环境下任务卸载技术的研究方向和成果。首先，介绍了MEC环境和任务卸载技术的发展现状，阐述了启发式算法、元启发式算法、强化学习等经典方案的概念和应用。在文献研究的主流解的基础上，总结了两种类型的任务卸载解:基于算法优化的传统任务卸载解和基于算法优化的任务卸载解

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

Journal of Computer Science and Technology 工程技术-计算机：软件工程

CiteScore

4.00

自引率

0.00%

发文量

2255

审稿时长

9.8 months

期刊介绍： Journal of Computer Science and Technology (JCST), the first English language journal in the computer field published in China, is an international forum for scientists and engineers involved in all aspects of computer science and technology to publish high quality and refereed papers. Papers reporting original research and innovative applications from all parts of the world are welcome. Papers for publication in the journal are selected through rigorous peer review, to ensure originality, timeliness, relevance, and readability. While the journal emphasizes the publication of previously unpublished materials, selected conference papers with exceptional merit that require wider exposure are, at the discretion of the editors, also published, provided they meet the journal''s peer review standards. The journal also seeks clearly written survey and review articles from experts in the field, to promote insightful understanding of the state-of-the-art and technology trends. Topics covered by Journal of Computer Science and Technology include but are not limited to: -Computer Architecture and Systems -Artificial Intelligence and Pattern Recognition -Computer Networks and Distributed Computing -Computer Graphics and Multimedia -Software Systems -Data Management and Data Mining -Theory and Algorithms -Emerging Areas