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Industrial Edge Com...
Industrial Edge Computing : Enabling Embedded Intelligence
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- Dai, Wenbin (author)
- Department of Automation Shanghai Jiao Tong University Shanghai, China
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- Nishi, Hiroaki (author)
- Keio University, Yokohama, Japan
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- Vyatkin, Valeriy (author)
- Luleå tekniska universitet,Datavetenskap
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- Huang, Victor (author)
- Sage Technology Resources, Cupertino, California United States
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- Shi, Yang (author)
- Huawei Technologies Co, Ltd, China
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- Guan, Xinping (author)
- Shanghai Jiao Tong University, Shanghai, China
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(creator_code:org_t)
- IEEE, 2019
- 2019
- English.
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In: IEEE Industrial Electronics Magazine. - : IEEE. - 1932-4529 .- 1941-0115. ; 13:4, s. 48-56
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Dependable Communication and Computation Systems
- Kommunikations- och beräkningssystem
Publication and Content Type
- ref (subject category)
- art (subject category)
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