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Control as a service (CaaS): Cloud-based software architecture for automotive control applications

: Esen, H.; Adachi, M.; Bernardini, D.; Bemporad, A.; Rost, D.; Knodel, J.


Association for Computing Machinery -ACM-; Association for Computing Machinery -ACM-, Special Interest Group on Embedded Systems -SIGBED-:
2nd International Workshop on the Swarm at the Edge of the Cloud, SWEC 2015. Proceedings : Seattle, Washington, April 13 - 16, 2015, in conjunction with CPSWeek 2015
New York: ACM, 2015
ISBN: 978-1-4503-3595-9
International Workshop on the Swarm at the Edge of the Cloud (SWEC) <2, 2015, Seattle/Wash.>
Cyber-Physical Systems Week (CPSWeek) <2015, Seattle/Wash.>
Fraunhofer IESE ()

The Internet of Things (IoT) is the interconnection of embedded devices and offers the possibility of exploiting cloud-based services to improve control functions. But how much cloud control is possible when facing real-time challenges in a safety-critical environment? This paper provides first insights and data into cloud-based control by means of a feasibility study in the automotive domain. We present the Control as a Service (CaaS) concept, which investigates cloud-based control scheme for a model car with WLAN / CAN gateway. CaaS delivers successfully an architectural design and a proof-of-concept implementation for a simple cloud-based throttle limitation scenario, in which the throttle values requested by driver (remote control user) is dynamically regulated by a controller implemented as a virtual ECU (Electronic Control Unit) in the cloud. We found that the correct handling of time-varying network delay is one of the most relevant challenges. Therefore we started a simulation study in parallel to design controllers that are capable of coping with network imperfections. Preliminary simulation results indicate the potential of model predictive control.