Evolving Container to Unikernel for Edge Computing and Applications in Process Industry
Chen, Shichao1,2; Zhou, Mengchu1,3,4
发表期刊PROCESSES
2021-02-01
卷号9期号:2页码:18
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.

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
DOI10.3390/pr9020351
收录类别SCI
语种英语
资助项目Deanship of Scientific Research (DSR) at King Abdulaziz University[D-422-135-1441]
项目资助者Deanship of Scientific Research (DSR) at King Abdulaziz University
WOS研究方向Engineering
WOS类目Engineering, Chemical
WOS记录号WOS:000623195400001
出版者MDPI
七大方向——子方向分类人工智能+交通
引用统计
被引频次:13[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/43200
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, Inst Syst Engn, Macau 999078, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA
4.King Abdulaziz Univ, Ctr Res Excellence Renewable Energy & Power Syst, Jeddah 21589, Saudi Arabia
5.Macau Univ Sci & Technol, Collaborat Lab Intelligent Sci & Syst, Macau 999078, Peoples R China
第一作者单位中国科学院自动化研究所
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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.
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