Knowledge Commons of Institute of Automation,CAS
Recent Advances in Collaborative Scheduling of Computing Tasks in an Edge Computing Paradigm | |
Chen, Shichao1,2; Li, Qijie3; Zhou, Mengchu1,4,5,6; Abusorrah, Abdullah5,6 | |
发表期刊 | SENSORS |
2021-02-01 | |
卷号 | 21期号:3页码:22 |
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. |
关键词 | collaborative scheduling edge computing internet of things limited resources optimization task offloading |
DOI | 10.3390/s21030779 |
收录类别 | SCI |
语种 | 英语 |
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] |
项目资助者 | National Key Research and Development Program of China ; Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, Saudi Arabia |
WOS研究方向 | Chemistry ; Engineering ; Instruments & Instrumentation |
WOS类目 | Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation |
WOS记录号 | WOS:000615501200001 |
出版者 | MDPI |
七大方向——子方向分类 | 智能计算系统 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/43113 |
专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
通讯作者 | Zhou, Mengchu |
作者单位 | 1.Macau Univ Sci & Technol, Fac Informat Tecnol, Macau 999078, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Harbin Inst Technol, Sch Mech & Elect Engn & Automat, Shenzhen 518000, Peoples R China 4.New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA 5.King Abdulaziz Univ, Dept Elect & Comp Engn, Fac Engn, Jeddah 21481, Saudi Arabia 6.King Abdulaziz Univ, Ctr Res Excellence Renewable Energy & Power Syst, Jeddah 21481, Saudi Arabia |
第一作者单位 | 中国科学院自动化研究所 |
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. |
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