TY - GEN
T1 - Adaptable demonstrator platform for the simulation of distributed agent-based automotive systems
AU - Weiss, Philipp
AU - Nagel, Sebastian
AU - Weichslgartner, Andreas
AU - Steinhorst, Sebastian
N1 - Publisher Copyright:
© Philipp Weiss, Sebastian Nagel, Andreas Weichslgartner, and Sebastian Steinhorst; licensed under Creative Commons License CC-BY 2nd International Workshop on Autonomous Systems Design (ASD 2020).
PY - 2020/8/1
Y1 - 2020/8/1
N2 - Future autonomous vehicles will no longer have a driver as a fallback solution in case of critical failure scenarios. However, it is costly to add hardware redundancy to achieve a fail-operational behaviour. Here, graceful degradation can be used by repurposing the allocated resources of noncritical applications for safety-critical applications. The degradation problem can be solved as a part of an application mapping problem. As future automotive software will be highly customizable to meet customers' demands, the mapping problem has to be solved for each individual configuration and the architecture has to be adaptable to frequent software changes. Thus, the mapping problem has to be solved at run-time as part of the software platform. In this paper we present an adaptable demonstrator platform consisting of a distributed simulation environment to evaluate such approaches. The platform can be easily configured to evaluate different hardware architectures. We discuss the advantages and limitations of this platform and present an exemplary demonstrator configuration running an agent-based graceful degradation approach.
AB - Future autonomous vehicles will no longer have a driver as a fallback solution in case of critical failure scenarios. However, it is costly to add hardware redundancy to achieve a fail-operational behaviour. Here, graceful degradation can be used by repurposing the allocated resources of noncritical applications for safety-critical applications. The degradation problem can be solved as a part of an application mapping problem. As future automotive software will be highly customizable to meet customers' demands, the mapping problem has to be solved for each individual configuration and the architecture has to be adaptable to frequent software changes. Thus, the mapping problem has to be solved at run-time as part of the software platform. In this paper we present an adaptable demonstrator platform consisting of a distributed simulation environment to evaluate such approaches. The platform can be easily configured to evaluate different hardware architectures. We discuss the advantages and limitations of this platform and present an exemplary demonstrator configuration running an agent-based graceful degradation approach.
KW - Agent-based mapping
KW - Fail-operational
KW - Graceful degradation
UR - http://www.scopus.com/inward/record.url?scp=85095979389&partnerID=8YFLogxK
U2 - 10.4230/OASIcs.ASD.2020.3
DO - 10.4230/OASIcs.ASD.2020.3
M3 - Conference contribution
AN - SCOPUS:85095979389
T3 - OpenAccess Series in Informatics
BT - 2nd International Workshop on Autonomous Systems Design, ASD 2020
A2 - Steinhorst, Sebastian
A2 - Deshmukh, Jyotirmoy V.
PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
T2 - 2nd International Workshop on Autonomous Systems Design, ASD 2020
Y2 - 1 April 2020
ER -