[Back]

F. Alkhabbas, I. Murturi, R. Spalazzese, P. Davidsson, S. Dustdar:
"A Goal-driven Approach for Deploying Self-adaptive IoT Systems";
Talk: IEEE 17th International Conference on Software Architecture (ICSA 2020) - Online Conference, Salvador, Brazil; 2020-11-02 - 2020-11-06; in: "Proceedings of the IEEE 17th International Conference on Software Architecture (ICSA 2020)", IEEE, (2020), ISBN: 978-1-7281-4660-7; 146 - 156.

Engineering Internet of Things (IoT) systems is a challenging task partly due to the dynamicity and uncertainty of the environment including the involvement of the human in the loop. Users should be able to achieve their goals seamlessly in different environments, and IoT systems should be able to cope with dynamic changes. Several approaches have been proposed to enable the automated formation, enactment, and self-adaptation of goal-driven IoT systems. However, they do not address deployment issues. In this paper, we propose a goal-driven approach for deploying self-adaptive IoT systems in the Edge-Cloud continuum. Our approach supports the systems to cope with the dynamicity and uncertainty of the environment including changes in their deployment topologies, i.e., the deployment nodes and their interconnections. We describe the architecture and processes of the approach and the simulations that we conducted to validate its feasibility. The results of the simulations show that the approach scales well when generating and adapting the deployment topologies of goal-driven IoT systems in smart homes and smart buildings.

Deploying Self-adaptive IoT Systems; Goaldriven IoT Systems; Edge-Cloud Continuum; Software Architecture

http://dx.doi.org/10.1109/ICSA47634.2020.00022