DocumentCode
1710559
Title
Cloud-Based Control: A Multi-tenant, Horizontally Scalable Soft-PLC
Author
Goldschmidt, Thomas ; Murugaiah, Mahesh Kumar ; Sonntag, Christian ; Schlich, Bastian ; Biallas, Sebastian ; Weber, Peter
Author_Institution
ABB Corp. Res., Ladenburg, Germany
fYear
2015
Firstpage
909
Lastpage
916
Abstract
In industrial automation, the control and operation of factories and plants in usually performed by Programmable Logic Controllers (PLCs). As automation tasks find their way into more and more smaller application areas where it is economically not reasonable to employ, engineer and maintain a full, hardware-based PLC, a cloud-based software PLC (Soft-PLC) can serve as a Control-as-a-Service solution. In this paper, we address the question how a Soft-PLC can be augmented with cloud-required aspects such as elastic scalability and multi-tenancy. We introduce an architecture that realizes these properties and allows for the implementation of a multi-tenant, horizontally scalable Soft-PLC. Furthermore, we evaluate the most important quality attributes, i.e. Roundtrip times and scalability of our architecture based on a prototypical implementation and a case study from the building automation domain. Finally, we present lessons learned and give an outlook to further realistic scenarios for cloud-based control in industrial applications.
Keywords
cloud computing; control engineering computing; programmable controllers; software architecture; software quality; software reliability; building automation domain; cloud-based control; cloud-based software PLC; control-as-a-service solution; full hardware-based PLC; industrial automation; multitenant horizontally scalable soft-PLC; programmable logic controllers; quality attributes; soft-PLC; Automation; Cloud computing; Computer architecture; Method of moments; Real-time systems; Scalability; Cloud deployment; Control-as-a-service; Industrial control; Soft-PLC;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on
Conference_Location
New York City, NY
Print_ISBN
978-1-4673-7286-2
Type
conf
DOI
10.1109/CLOUD.2015.124
Filename
7214134
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