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Industrial Edge Computing: Enabling Embedded Intelligence
Department of Automation Shanghai Jiao Tong University Shanghai, China .ORCID iD: 0000-0001-5113-3952
Keio University, Yokohama, Japan.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-9315-9920
Sage Technology Resources, Cupertino, California United States.ORCID iD: 0000-0002-4809-8321
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2019 (English)In: IEEE Industrial Electronics Magazine, ISSN 1932-4529, E-ISSN 1941-0115, Vol. 13, no 4, p. 48-56, article id 8941000Article in journal (Refereed) Published
Abstract [en]

The term industrial edge computing is used to describe a distributed platform that integrates communication, computation, and storage resources for performing real-time applications that can be directly accessed from the cloud. A step toward the industrial Internet revolution, industrial edge computing is designed to facilitate agile connectivity, real-time control, and data optimization, while enabling intelligent applications, ensuring tight security, and protecting privacy. Industrial edge computing makes use of what is known as edge computing nodes (ECNs), which bridge the gap between the physical world and the digital world by acting as smart gateways for assets, services, and systems. The IEEE P2805 Standards are being developed for defining protocols for self-management, data acquisition, and machine learning through cloud-edge collaboration on ECNs.

Place, publisher, year, edition, pages
2019. Vol. 13, no 4, p. 48-56, article id 8941000
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-78173DOI: 10.1109/MIE.2019.2943283ISI: 000512628100007Scopus ID: 2-s2.0-85077330799OAI: oai:DiVA.org:ltu-78173DiVA, id: diva2:1422708
Note

Validerad;2020;Nivå 2;2020-04-08 (cisjan)

Available from: 2020-04-08 Created: 2020-04-08 Last updated: 2020-04-16Bibliographically approved

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Vyatkin, Valeriy

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