Semantic Integration of Plug-and-Play Software Components for Industrial Edges Based on Microservices

Document identifier: oai:DiVA.org:ltu-76430
Access full text here:10.1109/ACCESS.2019.2938565
Keyword: Natural Sciences, Plug and play, Dependable Communication and Computation Systems, OWL, SQWRL, REST API, Interoperability, Microservices, IEC 61499 function blocks, Computer and Information Sciences, Industrial automation, Service-oriented architecture, Datavetenskap (datalogi), Data- och informationsvetenskap, Naturvetenskap, Computer Sciences, Kommunikations- och beräkningssystem
Publication year: 2019
Abstract:

The industrial cyber-physical system enables collaboration between distributed nodes across industrial clouds and edge devices. Flexibility and interoperability could be enhanced significantly by introducing the service-oriented architecture to industrial edge devices. From the industrial edge computing perspective, software components shall be dynamically composed across heterogeneous edge devices to perform various functionalities. In this paper, a knowledge-driven Microservice-based architecture to enable plug-and-play software components is proposed for industrial edges. These software components can be dynamically configured based on the orchestration of microservices with the support of the knowledge base and the reasoning process. These semantically enhanced plug-and-play microservices could provide rapid online reconfiguration without any programming efforts. The use of the plug-and-play software components is demonstrated by an assembly line example.

Authors

Wenbai Dai

Department of Automation, Shanghai Jiao Tong University, Shanghai, China
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Peng Wang

Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China
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Weiqi Sun

Department of Automation, Shanghai Jiao Tong University, Shanghai, China
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Xian Wu

Department of Automation, Shanghai Jiao Tong University, Shanghai, China
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Hualiang Zhang

Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China
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Valeriy Vyatkin

Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland
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Genke Yang

Department of Automation, Shanghai Jiao Tong University, Shanghai, China
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