Service Granularity in Industrial Automation and Control Systems

Aydin Homay; Mario de Sousa; Alois Zoitl; Martin Wollschlaeger

doi:10.1109/ETFA46521.2020.9212048

Service Granularity in Industrial Automation and Control Systems

Aydin Homay
, Mario de Sousa
, Alois Zoitl
, Martin Wollschlaeger

LIT Cyber-Physical Systems Lab

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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.

Original language	English
Title of host publication	2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Place of Publication	New York, USA
Publisher	IEEE
Pages	132-139
Number of pages	8
ISBN (Electronic)	9781728189567
ISBN (Print)	978-1-7281-8957-4
DOIs	https://doi.org/10.1109/ETFA46521.2020.9212048
Publication status	Published - Sept 2020

Publication series

Name	IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Volume	2020-September
ISSN (Print)	1946-0740
ISSN (Electronic)	1946-0759

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Fields of science

202017 Embedded systems
102022 Software development
102025 Distributed systems
102029 Practical computer science
202003 Automation
202041 Computer engineering

JKU Focus areas

Digital Transformation

Access to Document

10.1109/ETFA46521.2020.9212048

Cite this

Homay, A., de Sousa, M., Zoitl, A., & Wollschlaeger, M. (2020). Service Granularity in Industrial Automation and Control Systems. In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (pp. 132-139). Article 9212048 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA; Vol. 2020-September). IEEE. https://doi.org/10.1109/ETFA46521.2020.9212048

@inproceedings{17c2f4e2209c485bafcac5c29e389d0d,

title = "Service Granularity in Industrial Automation and Control Systems",

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.",

author = "Aydin Homay and \{de Sousa\}, Mario and Alois Zoitl and Martin Wollschlaeger",

year = "2020",

month = sep,

doi = "10.1109/ETFA46521.2020.9212048",

language = "English",

isbn = "978-1-7281-8957-4",

series = "IEEE International Conference on Emerging Technologies and Factory Automation, ETFA",

publisher = "IEEE",

pages = "132--139",

booktitle = "2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)",

}

Homay, A, de Sousa, M, Zoitl, A & Wollschlaeger, M 2020, Service Granularity in Industrial Automation and Control Systems. in 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)., 9212048, IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, vol. 2020-September, IEEE, New York, USA, pp. 132-139. https://doi.org/10.1109/ETFA46521.2020.9212048

Service Granularity in Industrial Automation and Control Systems. / Homay, Aydin; de Sousa, Mario; Zoitl, Alois et al.
2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). New York, USA: IEEE, 2020. p. 132-139 9212048 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA; Vol. 2020-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Service Granularity in Industrial Automation and Control Systems

AU - Homay, Aydin

AU - de Sousa, Mario

AU - Zoitl, Alois

AU - Wollschlaeger, Martin

PY - 2020/9

Y1 - 2020/9

N2 - 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.

AB - 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.

UR - https://ieeexplore.ieee.org/document/9212048

UR - https://www.scopus.com/pages/publications/85093357068

U2 - 10.1109/ETFA46521.2020.9212048

DO - 10.1109/ETFA46521.2020.9212048

M3 - Conference proceedings

SN - 978-1-7281-8957-4

T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

SP - 132

EP - 139

BT - 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

PB - IEEE

CY - New York, USA

ER -

Homay A, de Sousa M, Zoitl A, Wollschlaeger M. Service Granularity in Industrial Automation and Control Systems. In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). New York, USA: IEEE. 2020. p. 132-139. 9212048. (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA). doi: 10.1109/ETFA46521.2020.9212048

Service Granularity in Industrial Automation and Control Systems

Abstract

Publication series

UN SDGs

Fields of science

JKU Focus areas

Access to Document

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Cite this