TY - GEN
T1 - Towards a Quantitative Time Analysis and Decision Support for the Deployment of AI-Algorithms in Distributed Cyber-Physical Production Systems
AU - Hujo, Dominik
AU - Vogel-Heuser, Birgit
AU - Kruger, Marius
AU - Schuhmann, Fabian
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/10/13
Y1 - 2021/10/13
N2 - Modern Cyber-Physical Production Systems get more and more intelligent by higher capacities of the used resources and more resource-efficient AI-algorithms. However, a significant challenge is finding the fitting architecture for hardware and software cost-efficiently and with low effort. Currently, this process consists of trial and error or selecting overpowered hardware resources, which leads to expensive and time-consuming processes in the development. This paper deals with a quantitative benchmark of the timing behavior of selected algorithms for preprocessing to enable AI on representative hardware platforms in cyber-physical production systems, building on previous approaches that take a model-based view of hardware/software co-design. This approach is a first step away from a purely qualitative system design, towards a quantitative approach.
AB - Modern Cyber-Physical Production Systems get more and more intelligent by higher capacities of the used resources and more resource-efficient AI-algorithms. However, a significant challenge is finding the fitting architecture for hardware and software cost-efficiently and with low effort. Currently, this process consists of trial and error or selecting overpowered hardware resources, which leads to expensive and time-consuming processes in the development. This paper deals with a quantitative benchmark of the timing behavior of selected algorithms for preprocessing to enable AI on representative hardware platforms in cyber-physical production systems, building on previous approaches that take a model-based view of hardware/software co-design. This approach is a first step away from a purely qualitative system design, towards a quantitative approach.
KW - Computer and Control Sysgtems
KW - Embedded control
KW - Real-time information systems
UR - http://www.scopus.com/inward/record.url?scp=85119499008&partnerID=8YFLogxK
U2 - 10.1109/IECON48115.2021.9589515
DO - 10.1109/IECON48115.2021.9589515
M3 - Conference contribution
AN - SCOPUS:85119499008
T3 - IECON Proceedings (Industrial Electronics Conference)
BT - IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE Computer Society
T2 - 47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021
Y2 - 13 October 2021 through 16 October 2021
ER -