Evolving Container to Unikernel for Edge Computing and Applications in Process Industry

doi:10.3390/pr9020351

CORC > 自动化研究所 > 中国科学院自动化研究所 > 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

	Evolving Container to Unikernel for Edge Computing and Applications in Process Industry
	Chen, Shichao 1,2,3; Zhou, Mengchu 1,2,4,5
刊名	PROCESSES
	2021-02-01
卷号	9 期号:2 页码:18
关键词	big data analytics lightweight virtualization cloud computing edge computing industrial process Industry 4.0 Internet of things machine learning process industry fault diagnosis
DOI	10.3390/pr9020351
通讯作者	Zhou, Mengchu(zhou@njit.edu)
英文摘要	Industry 4.0 promotes manufacturing and process industry towards digitalization and intellectualization. Edge computing can provide delay-sensitive services in industrial processes to realize intelligent production. Lightweight virtualization technology is one of the key elements of edge computing, which can implement resource management, orchestration, and isolation services without considering heterogenous hardware. It has revolutionized software development and deployment. The scope of this review paper is to present an in-depth analysis of two such technologies, Container and Unikernel, for edge computing. We discuss and compare their applicability in terms of migration, security, and orchestration for edge computing and industrial applications. We describe their performance indexes, evaluation methods and related findings. We then discuss their applications in industrial processes. To promote further research, we present some open issues and challenges to serve as a road map for both researchers and practitioners in the areas of Industry 4.0, industrial process automation, and advanced computing.
资助项目	Deanship of Scientific Research (DSR) at King Abdulaziz University[D-422-135-1441]
WOS研究方向	Engineering
语种	英语
出版者	MDPI
WOS记录号	WOS:000623195400001
资助机构	Deanship of Scientific Research (DSR) at King Abdulaziz University
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/43199]
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, Collaborat Lab Intelligent Sci & Syst, Macau 999078, Peoples R China 2.Macau Univ Sci & Technol, Inst Syst Engn, Macau 999078, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA 5.King Abdulaziz Univ, Ctr Res Excellence Renewable Energy & Power Syst, Jeddah 21589, Saudi Arabia
推荐引用方式 GB/T 7714	Chen, Shichao,Zhou, Mengchu. Evolving Container to Unikernel for Edge Computing and Applications in Process Industry[J]. PROCESSES,2021,9(2):18.
APA	Chen, Shichao,&Zhou, Mengchu.(2021).Evolving Container to Unikernel for Edge Computing and Applications in Process Industry.PROCESSES,9(2),18.
MLA	Chen, Shichao,et al."Evolving Container to Unikernel for Edge Computing and Applications in Process Industry".PROCESSES 9.2(2021):18.