FASA: a scalable software framework for distributed control systems

Authors:
Manuel Oriol;Michael Wahler;Robin Steiger;Sascha Stoeter;Egemen Vardar;Heiko Koziolek;Atul Kumar
Affiliations:
ABB Corporate Research, Baden-Daettwill, Switzerland;ABB Corporate Research, Baden-Daettwill, Switzerland;ABB Corporate Research, Baden-Daettwill, Switzerland;ABB Corporate Research, Baden-Daettwill, Switzerland;ABB Corporate Research, Baden-Daettwill, Switzerland;ABB Corporate Research, Ladenburg, Germany;ABB Corporate Research, Bengalore, India
Venue:
Proceedings of the 3rd international ACM SIGSOFT symposium on Architecting Critical Systems
Year:
2012

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Abstract

Building a distributed control application is currently performed ad hoc: it consists of building each application part as an independent program and connecting them through a communication layer. With the pervasiveness of multicore chips, future generations of controllers will include a variable number of cores and hosts, making such a static development process obsolete. To solve this issue, the FASA component framework for distributed control systems computes a deployment of the components onto the available computation resources (cores and hosts) and a static schedule for their execution. Depending on the given deployment, FASA chooses a suitable communication protocol for each pair of connected components. This makes FASA a scalable software architecture for heterogeneous distributed control systems. This article presents the framework, as well as a validation of FASA using a case study of a distributed control system comprising both multicore and single-core processors.