Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11790/1331
Title: Generic Autonomic Management as a Service in a SOA-based Framework for Industry 4.0
Authors: Maksuti, Silia 
Tauber, Markus 
Delsing, Jerker 
Keywords: cloud computing;cyber-physical systems;production engineering computing;service-oriented architecture;user interfaces
Issue Date: Oct-2019
Publisher: IEEE
Abstract: Cyber-physical production systems are engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and physical components. In order to make these systems interoperable with each other for addressing Industry 4.0 applications a number of service-oriented architecture frameworks are developed. Such frameworks are composed by a number of services, which are inherently dynamic by nature and thus imply the need for self-adaptation. In this paper we propose generic autonomic management as a service and show how it can be integrated in the Arrowhead framework. We propose generic and reusable interfaces for each phase of the autonomic control loop in order to increase the usability of the service for other frameworks and application systems, while reducing the software engineering effort. To show the utility of our approach in the Arrowhead framework we use a climate control application as a representative example.
Description: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal, Portugal
URI: http://hdl.handle.net/20.500.11790/1331
DOI: 10.1109/IECON.2019.8927245
Rights: info:eu-repo/semantics/closedAccess
Appears in Collections:Informationstechnologie und Informationsmanagement

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