The Potential of Self-Adaptive Software Systems in Industrial Control Systems

Johannes Iber; Tobias Rauter; Michael Krisper; Christian Josef Kreiner

doi:10.1007/978-3-319-64218-5_12

The Potential of Self-Adaptive Software Systems in Industrial Control Systems

Johannes Iber, Tobias Rauter, Michael Krisper, Christian Josef Kreiner

Institut für Technische Informatik (4480)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abstract

New generations of industrial control systems offer higher performance, are networked and can be controlled remotely. Following this progress, the complexity of such systems increases through heterogeneous systems, hardware and more capable software. This may lead to an increase of unreliability and insecurity. Self-adaptive software systems offer a mean of dealing with complexity by monitoring a control system, detecting anomalies and adapting the control system to problems. Regarding such methods, industrial control systems have the advantage of being less dynamic. The network topology is fixed, devices rarely change, and the functionality of all the resources is known in principle. In this work, we examine this advantage and present the potential of self-adaptive software systems. The context of the presented work is control systems for hydropower units.

Originalsprache	englisch
Titel	EuroSPI 2017: Systems, Software and Services Process Improvement
Redakteure/-innen	Jakub Stolfa, Svatopluk Stolfa, Rory V. O'Connor, Richard Messnarz
Erscheinungsort	Cham
Herausgeber (Verlag)	Springer International Publishing AG
Seiten	150-161
ISBN (elektronisch)	978-3-319-64218-5
ISBN (Print)	978-3-319-64217-8
DOIs	https://doi.org/10.1007/978-3-319-64218-5_12
Publikationsstatus	Veröffentlicht - 12 Aug. 2017
Veranstaltung	24th European Conference on Systems, Software and Services Process Improvement: EuroSPI 2017 - VSB - Technical University of Ostrava, Ostrava, Tschechische Republik Dauer: 6 Sept. 2017 → 8 Sept. 2017 Konferenznummer: 24 http://2017.eurospi.net/

Publikationsreihe

Name	Communications in Computer and Information Science
Herausgeber (Verlag)	Springer
Band	748
ISSN (Print)	1865-0929
ISSN (elektronisch)	1865-0937

Konferenz

Konferenz	24th European Conference on Systems, Software and Services Process Improvement
Kurztitel	EuroSPI 2017
Land/Gebiet	Tschechische Republik
Ort	Ostrava
Zeitraum	6/09/17 → 8/09/17
Internetadresse	http://2017.eurospi.net/

Zugriff auf Dokument

10.1007/978-3-319-64218-5_12

1 Abgeschlossen
1 Laufend

Industrial Informatics
Macher, G., Dobaj, J., Krug, T., Blažević, R. & Veledar, O.
1/09/12 → …
Projekt: Arbeitsgebiet
AH-HyUnify - Steuerungsplattform für Stromerzeugung aus Wasserkraft
Kreiner, C. J., Rauter, T., Hölbling, A. & Iber, J.
1/11/14 → 31/10/17
Projekt: Forschungsprojekt

The Potential of Self-Adaptive Software Systems in Industrial Control Systems
Johannes Iber (Redner/in)
8 Sept. 2017
Aktivität: Vortrag oder Präsentation › Vortrag bei Konferenz oder Fachtagung › Science to science

Dieses zitieren

Iber, J., Rauter, T., Krisper, M., & Kreiner, C. J. (2017). The Potential of Self-Adaptive Software Systems in Industrial Control Systems. in J. Stolfa, S. Stolfa, R. V. O'Connor, & R. Messnarz (Hrsg.), EuroSPI 2017: Systems, Software and Services Process Improvement (S. 150-161). (Communications in Computer and Information Science; Band 748). Springer International Publishing AG . https://doi.org/10.1007/978-3-319-64218-5_12

The Potential of Self-Adaptive Software Systems in Industrial Control Systems. / Iber, Johannes; Rauter, Tobias; Krisper, Michael et al.
EuroSPI 2017: Systems, Software and Services Process Improvement. Hrsg. / Jakub Stolfa; Svatopluk Stolfa; Rory V. O'Connor; Richard Messnarz. Cham: Springer International Publishing AG , 2017. S. 150-161 (Communications in Computer and Information Science; Band 748).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Iber, J, Rauter, T, Krisper, M & Kreiner, CJ 2017, The Potential of Self-Adaptive Software Systems in Industrial Control Systems. in J Stolfa, S Stolfa, RV O'Connor & R Messnarz (Hrsg.), EuroSPI 2017: Systems, Software and Services Process Improvement. Communications in Computer and Information Science, Bd. 748, Springer International Publishing AG , Cham, S. 150-161, 24th European Conference on Systems, Software and Services Process Improvement, Ostrava, Tschechische Republik, 6/09/17. https://doi.org/10.1007/978-3-319-64218-5_12

Iber J, Rauter T, Krisper M, Kreiner CJ. The Potential of Self-Adaptive Software Systems in Industrial Control Systems. in Stolfa J, Stolfa S, O'Connor RV, Messnarz R, Hrsg., EuroSPI 2017: Systems, Software and Services Process Improvement. Cham: Springer International Publishing AG . 2017. S. 150-161. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-64218-5_12

Iber, Johannes ; Rauter, Tobias ; Krisper, Michael et al. / The Potential of Self-Adaptive Software Systems in Industrial Control Systems. EuroSPI 2017: Systems, Software and Services Process Improvement. Hrsg. / Jakub Stolfa ; Svatopluk Stolfa ; Rory V. O'Connor ; Richard Messnarz. Cham : Springer International Publishing AG , 2017. S. 150-161 (Communications in Computer and Information Science).

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The Potential of Self-Adaptive Software Systems in Industrial Control Systems

Abstract

Publikationsreihe

Konferenz

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Projekte

Industrial Informatics

AH-HyUnify - Steuerungsplattform für Stromerzeugung aus Wasserkraft

Aktivitäten

The Potential of Self-Adaptive Software Systems in Industrial Control Systems

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