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Scalability Analysis of Cloud-Based Distributed Simulations of IoT Systems Using HLA

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Author: Nägele, T. · Hooman, J.
Publisher: IEEE Computer Society
Source:Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS, 24th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2018, 11 December 2018 through 13 December 2018, 1075-1080
Identifier: 866272
doi: doi:10.1109/PADSW.2018.8644925/
ISBN: 9.78E+12
Article number: 8644925
Keywords: Co-simulation · Cyber-physical systems · Distribution · Domain Specific Language · FMI · HLA · Internet of Things · Computer aided software engineering · Computer simulation languages · Cyber Physical System · Digital subscriber lines · Embedded systems · Problem oriented languages · Scalability · Cosimulation · Distributed co-simulation · Distributed simulations · Internet of Things (IOT) · Scalability analysis · Sensors and actuators · Internet of things


Gaining insight in the properties of an Internet of Things (IoT) system during the design phase is difficult. The cosimulation of such a system would be very useful, but creating it is usually time consuming. By means of domain specific languages (DSLs) we support the fast construction of large co-simulations of IoT systems. This approach includes the use of CoHLA, a DSL that generates co-simulation code based on the HLA and FMI standards. Due to the large number of connected sensors and actuators in an IoT system, the time needed for simulation can be a blocking factor. Hence we facilitate distributed co-simulation in the cloud. To do that efficiently, we have conducted a set of experiments to analyse scalability and the performance impact of distribution methods. From these experiments, lessons were learned on how to distribute the co-simulation of IoT systems. © 2018 IEEE.