IAS: an IoT Architectural Self-adaptation FrameworkIndustry Track
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.
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09:30 - 10:30: S5: Industry Track: Architecting contemporary distributed systemsPaper Presentations / Industry Program at ECSA 2020 Teams Channel Chair(s): Olaf ZimmermannUniversity of Applied Sciences of Eastern Switzerland (OST), Anton JansenPhilips Virtualization support: Aurora Macias | |||
09:30 - 09:50 | Determining Microservice Boundaries: A Case Study Using Static and Dynamic Software AnalysisIndustry Track Industry Program 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 Industry Program Mahyar Tourchi MoghaddamUnivAQ - INRIA, Eric RuttenINRIA, Philippe LalandaUniversity of Grenoble Alpes, Guillaume GIRAUDRTE | ||
10:10 - 10:30 | A Comparison of MQTT Brokers for Distributed IoT Edge ComputingIndustry Track Industry Program Heiko KoziolekABB Corporate Research, Sten GrünerABB Corporate Research, Julius RückertABB Corporate Research Pre-print |