IAS: an IoT Architectural Self-adaptation Framework
This paper develops a generic approach to model interactive control loops in the Internet of Things (IoT) environments. We take advantage of interactive MAPE-K loops to enable architectural self-adaptation. The system’s architectural setting is aligned with the adaptation goals and with the components run-time situation and constraints. We introduce an integrated framework for IoT Architectural Self-adaptation ( IAS) were functional control elements are in charge of environmental adaptation and autonomic control elements handle the functional system’s architectural adaptation. A Queuing Networks (QN) approach was used for modeling the IAS. The IAS-QN can model control levels and their interaction to perform both architectural and environmental adaptations. The IAS-QN was modeled on a smart grid system for the Melle-Longchamp area (France). Our architectural adaptation approach successfully set the propositions to enhance the performance of the electricity transmission system. This research is a part of CPS4EU European industrial innovation project.
Thu 17 Sep Times are displayed in time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
|09:30 - 09:50||Determining Microservice Boundaries: A Case Study Using Static and Dynamic Software AnalysisIndustry Track|
Tiago MatiasFaculty of Engineering, University of Porto, Portugal, Filipe Figueiredo CorreiaUniversity of Porto, Jonas FritzschInstitute of Software Technology, University of Stuttgart / University of Applied Sciences Reutlingen, Justus BognerInstitute of Software Technology, University of Stuttgart, Hugo Sereno FerreiraFEUP, Universidade do Porto, André RestivoLIACC, Universidade do Porto, Porto, Portugal
|09:50 - 10:10||IAS: an IoT Architectural Self-adaptation FrameworkIndustry Track|
|10:10 - 10:30||A Comparison of MQTT Brokers for Distributed IoT Edge ComputingIndustry Track|
Heiko KoziolekABB Corporate Research, Sten GrünerABB Corporate Research, Julius RückertABB Corporate ResearchPre-print