Service Granularity in Industrial Automation and Control Systems

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

Applying service-oriented concepts in industrial control and automation systems requires developing new architectural concepts to make it more adaptable to this context. In the scope of service-oriented systems one of the main challenges is defining the right granularity for every service in the system. This paper presents a systematic classification of methods to decompose the services. Identifying and using the correct granularity for each service is expected to lead to higher system flexibility, scalability, and in general to improving service deployment and maintenance. To find the best granularity for a service several approaches have been proposed, some of which are based on modeling and others based on service quality analysis. The approach we propose is based on modeling.

Details

OriginalspracheEnglisch
Titel2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Herausgeber (Verlag)IEEE
Seiten132-139
Seitenumfang8
Band1
ISBN (Print)978-1-7281-8957-4
PublikationsstatusVeröffentlicht - 11 Sept. 2020
Peer-Review-StatusJa

Konferenz

Titel2020 25th IEEE International Conference on Emerging Technologies and Factory Automation
KurztitelETFA 2020
Veranstaltungsnummer25
Dauer8 - 11 September 2020
Webseite
BekanntheitsgradInternationale Veranstaltung
OrtTU Wien & online
StadtVienna
LandÖsterreich

Externe IDs

Scopus 85093357068
ORCID /0000-0002-4646-4455/work/163764054

Schlagworte

Schlagwörter

  • Analytical models, Systematics, Scalability, Industrial control, Conferences, Maintenance engineering, Control systems