Title
Scalability Analysis of Cloud-Based Distributed Simulations of IoT Systems Using HLA
Author
Nägele, T.
Hooman, J.
Publication year
2019
Abstract
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.
Subject
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
To reference this document use:
http://resolver.tudelft.nl/uuid:522d69fa-eb11-48c5-8bf3-7f5450b23736
DOI
https://doi.org/10.1109/padsw.2018.8644925/
TNO identifier
866272
Publisher
IEEE Computer Society
ISSN
1521-9097
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
Article number
8644925
Document type
conference paper