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Recent Advances in Collaborative Scheduling of Computing Tasks in an Edge Computing Paradigm

文献类型：期刊论文

作者Chen, Shichao1,6; Li, Qijie5; Zhou, Mengchu1,2,3,4; Abusorrah, Abdullah2,3
刊名SENSORS
出版日期2021-02-01
卷号21期号:3页码:22
关键词collaborative scheduling edge computing internet of things limited resources optimization task offloading
DOI10.3390/s21030779
通讯作者Zhou, Mengchu(mengchu.zhou@njit.edu)
英文摘要In edge computing, edge devices can offload their overloaded computing tasks to an edge server. This can give full play to an edge server's advantages in computing and storage, and efficiently execute computing tasks. However, if they together offload all the overloaded computing tasks to an edge server, it can be overloaded, thereby resulting in the high processing delay of many computing tasks and unexpectedly high energy consumption. On the other hand, the resources in idle edge devices may be wasted and resource-rich cloud centers may be underutilized. Therefore, it is essential to explore a computing task collaborative scheduling mechanism with an edge server, a cloud center and edge devices according to task characteristics, optimization objectives and system status. It can help one realize efficient collaborative scheduling and precise execution of all computing tasks. This work analyzes and summarizes the edge computing scenarios in an edge computing paradigm. It then classifies the computing tasks in edge computing scenarios. Next, it formulates the optimization problem of computation offloading for an edge computing system. According to the problem formulation, the collaborative scheduling methods of computing tasks are then reviewed. Finally, future research issues for advanced collaborative scheduling in the context of edge computing are indicated.
资助项目National Key Research and Development Program of China[2018YFB1700202] ; Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, Saudi Arabia[RG-21-135-39]
WOS研究方向Chemistry ; Engineering ; Instruments & Instrumentation
语种英语
WOS记录号WOS:000615501200001
出版者MDPI
资助机构National Key Research and Development Program of China ; Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, Saudi Arabia
源URL[http://ir.ia.ac.cn/handle/173211/43112]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Zhou, Mengchu
作者单位1.Macau Univ Sci & Technol, Fac Informat Tecnol, Macau 999078, Peoples R China
2.King Abdulaziz Univ, Ctr Res Excellence Renewable Energy & Power Syst, Jeddah 21481, Saudi Arabia
3.King Abdulaziz Univ, Dept Elect & Comp Engn, Fac Engn, Jeddah 21481, Saudi Arabia
4.New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA
5.Harbin Inst Technol, Sch Mech & Elect Engn & Automat, Shenzhen 518000, Peoples R China
6.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Shichao,Li, Qijie,Zhou, Mengchu,et al. Recent Advances in Collaborative Scheduling of Computing Tasks in an Edge Computing Paradigm[J]. SENSORS,2021,21(3):22.
APA Chen, Shichao,Li, Qijie,Zhou, Mengchu,&Abusorrah, Abdullah.(2021).Recent Advances in Collaborative Scheduling of Computing Tasks in an Edge Computing Paradigm.SENSORS,21(3),22.
MLA Chen, Shichao,et al."Recent Advances in Collaborative Scheduling of Computing Tasks in an Edge Computing Paradigm".SENSORS 21.3(2021):22.

入库方式： OAI收割

来源：自动化研究所

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