M. Oriol, M. Wahler, Robin Steiger, S. Stoeter, Egemen Vardar, H. Koziolek, Atul Kumar
{"title":"FASA: a scalable software framework for distributed control systems","authors":"M. Oriol, M. Wahler, Robin Steiger, S. Stoeter, Egemen Vardar, H. Koziolek, Atul Kumar","doi":"10.1145/2304656.2304664","DOIUrl":null,"url":null,"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.","PeriodicalId":199564,"journal":{"name":"International Symposium on Architecting Critical Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Architecting Critical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2304656.2304664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31
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.