Edge Computing and Computational Task Offloading Analysis – A review study

Tanzeel Zaidi, Samia Aziz, Muhammad Usman, Awais Azam, Adeel Ashraf Cheema, S. Ajmal
{"title":"Edge Computing and Computational Task Offloading Analysis – A review study","authors":"Tanzeel Zaidi, Samia Aziz, Muhammad Usman, Awais Azam, Adeel Ashraf Cheema, S. Ajmal","doi":"10.1109/ETECTE55893.2022.10007120","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETECTE55893.2022.10007120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

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.
边缘计算与计算任务卸载分析综述
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信