Service Granularity in Industrial Automation and Control Systems

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

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

Original languageEnglish
Title of host publication2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
PublisherIEEE
Pages132-139
Number of pages8
Volume1
ISBN (print)978-1-7281-8957-4
Publication statusPublished - 11 Sept 2020
Peer-reviewedYes

Conference

Title2020 25th IEEE International Conference on Emerging Technologies and Factory Automation
Abbreviated titleETFA 2020
Conference number25
Duration8 - 11 September 2020
Website
Degree of recognitionInternational event
LocationTU Wien & online
CityVienna
CountryAustria

External IDs

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

Keywords

Keywords

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