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ECSA 2020
Mon 14 - Fri 18 September 2020 L'Aquila, Italy

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

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

09:30 - 10:30
S5: Industry Track: Architecting contemporary distributed systemsIndustry Program at ECSA 2020 Teams Channel
Chair(s): Anton Jansen Philips, Olaf Zimmermann University of Applied Sciences of Eastern Switzerland (OST)

Virtualization support: Aurora Macias

Determining Microservice Boundaries: A Case Study Using Static and Dynamic Software AnalysisIndustry Track
Industry Program
Tiago Matias Faculty of Engineering, University of Porto, Portugal, Filipe Figueiredo Correia University of Porto, Jonas Fritzsch Institute of Software Technology, University of Stuttgart / University of Applied Sciences Reutlingen, Justus Bogner Institute of Software Technology, University of Stuttgart, Hugo Sereno Ferreira FEUP, Universidade do Porto, André Restivo LIACC, Universidade do Porto, Porto, Portugal
IAS: an IoT Architectural Self-adaptation FrameworkIndustry Track
Industry Program
Mahyar T. Moghaddam UnivAQ - INRIA, Eric Rutten INRIA, Philippe Lalanda University of Grenoble Alpes, Guillaume GIRAUD RTE
A Comparison of MQTT Brokers for Distributed IoT Edge ComputingIndustry Track
Industry Program
Heiko Koziolek ABB Corporate Research, Sten Grüner ABB Corporate Research, Julius Rückert ABB Corporate Research