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Estimation, measurement and improvement of distributed automation applications performance10.1109/IECON.2017.8216940
Department of Electrical Engineering and Automation, Aalto University Espoo.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. Department of Electrical Engineering and Automation, Aalto University.ORCID iD: 0000-0002-9315-9920
2017 (English)In: Proceedings IECON 2017: 43rd Annual Conference of the IEEE Industrial Electronics Society, Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 5426-5431Conference paper, Published paper (Refereed)
Abstract [en]

This paper addresses the problem of how to estimate performance of distributed IEC 61499 automation systems and optionally, how to improve end-to-end response times in general. In order to make the process of distributed automation system design and deployment more streamlined, a software tool which could reliably estimate end-to-end response times within a system offline would be very beneficial. Focusing on possibilities to develop such a tool, there is a need for researching ways to determine end-to-end response times within distributed IEC 61499 systems. Based on the findings a model is created which can be used in the future software tool. The tool can either be a stand-alone application or as a plugin to some existing automation software development environment. This tool could be used already in the software development phase in order to compensate for the delays occurring in the physical system and thus, the actual work resulting from fine tuning while deploying the system could be minimized.

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 5426-5431
Series
IEEE Industrial Electronics Society, ISSN 1553-572X
National Category
Computer Systems
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-68272DOI: 10.1109/IECON.2017.8216940ISI: 000427164805060Scopus ID: 2-s2.0-85046682180ISBN: 9781538611272 (electronic)OAI: oai:DiVA.org:ltu-68272DiVA, id: diva2:1196574
Conference
43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017, Bejing, China, 29 October - 1 November 2017
Available from: 2018-04-10 Created: 2018-04-10 Last updated: 2018-05-21Bibliographically approved

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CiteExportLink to record
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  • apa
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