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Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

H. Isakovic, R. Grosu, B. Wally, T. Rausch, S. Dustdar, G. Kappel, D. Ratasich, V. Bisanovic:
"Sensyml: Simulation Environment for large-scale IoT Applications";
Vortrag: 45th Annual Conference of the IEEE Industrial Electronics Society (IECON 2019), Lisbon, Portugal, Portugal; 14.10.2019 - 18.10.2019; in: "IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society", IEEE Xplore, (2019), ISBN: 978-1-7281-4878-6; S. 3024 - 3030.



Kurzfassung englisch:
IoT systems are becoming an increasingly important component of the civil and industrial infrastructure. With the growth of these IoT ecosystems, their complexity is also growing exponentially. In this paper we explore the problem of testing and evaluating large scale IoT systems at design time. To this end we employ simulated sensors with the physical and geographical characteristics of real sensors. Moreover, we propose Sensyml, a simulation environment that is capable of generating big data from cyber-physical models and real-world data. To the best of our knowledge it is the first approach to use a hybrid integration of real and simulated sensor data, that is also capable of being integrated into existing IoT systems. Sensyml is a cloud based Infrastructure-as-a-Service (IaaS) system that enables users to test both functionality and scalability of their IoT applications.

Schlagworte:
simulation, iot, big data, modeling


"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/IECON.2019.8927756

Elektronische Version der Publikation:
https://publik.tuwien.ac.at/files/publik_284276.pdf


Erstellt aus der Publikationsdatenbank der Technischen Universitšt Wien.