Towards industry strength mapping of AUTOSAR automotive functionality on multicore architectures

Avasalcai, Cosmin; Budhrani, Dhanesh; Pop, Paul

doi:10.1145/3125501.3125623

Cited by 4 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The resource allocation problem in the automotive context has been studied in various efforts. The authors of [14] present promising results of a scheduling tool in the AU-TOSAR context. Our work additionally incorporates the energy consumption of the ECU cluster and follows a different solving strategy.…”

Section: Related Workmentioning

confidence: 99%

Optimization-based Resource Allocation for an Automotive Service-oriented Software Architecture

Kampmann

Luer

Kowalewski

et al. 2022

2022 IEEE Intelligent Vehicles Symposium (IV)

View full text Add to dashboard Cite

This paper presents an approach for allocation of resources in an automotive service-oriented software architecture. Using mathematical optimization, we assign computational resources of an automotive compute cluster to a set of software services. Additionally, scheduling parameters of services are optimized under the consideration of dependencies between data flows and computations within services. The optimization minimizes power consumption and the maximum execution times of critical effect chains in a multi-objective optimization problem. The evaluation investigates the achievable reduction in power consumption using an exemplary system. Furthermore, we demonstrate a sharp reduction in maximum execution times of effect chains that span multiple services and ECUs.

show abstract

Section: Related Workmentioning

confidence: 99%