Evolving Container to Unikernel for Edge Computing and Applications in Process Industry
文献类型：期刊论文
| 作者 | Chen, Shichao2,3,4 ; Zhou, Mengchu1,2,3,5
|
| 刊名 | PROCESSES
 |
| 出版日期 | 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 |
| WOS记录号 | WOS:000623195400001 |
| 出版者 | MDPI |
| 资助机构 | Deanship of Scientific Research (DSR) at King Abdulaziz University |
| 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.King Abdulaziz Univ, Ctr Res Excellence Renewable Energy & Power Syst, Jeddah 21589, Saudi Arabia 2.Macau Univ Sci & Technol, Inst Syst Engn, Macau 999078, Peoples R China 3.Macau Univ Sci & Technol, Collaborat Lab Intelligent Sci & Syst, Macau 999078, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 5.New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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