Power-Aware Allocation of Fault-Tolerant Multirate AUTOSAR Applications

Abstract

Software-to-hardware allocation plays an important role in the development of resource-constrained automotive embedded systems that are required to meet timing, reliability and power requirements. This paper proposes an Integer Linear Programming optimization approach for the allocation of faulttolerant embedded software applications that are developed using the AUTOSAR standard. The allocation takes into account the timing and reliability requirements of the multirate software applications and the heterogeneity of their execution platforms. The optimization objective is to minimize the total power consumption of the applications that are distributed over multiple computing units. The proposed approach is evaluated using a range of different software applications from the automotive domain, which are generated using the real-world automotive benchmark. The evaluation results indicate that our proposed allocation approach is effective while meeting the timing, reliability, and power requirements of the considered automotive software applications.

Optimization of AUTOSAR Communication Stack in the Context of Advanced Driver Assistance Systems

“…Random generated mixed-critical runnable sets have been used for the performance evaluation, which later demonstrated that the presented approach can drastically reduce the memory stack usage of the system. Targeting the same systems that comply with the AUTOSAR standard, Nesredin Mahmud et al [ 24 ] aim to optimize the allocation of fault tolerant embedded software applications. The presented optimization is based on an Integer Linear Programming model that minimizes the total power consumption of the system while taking into consideration the imposed timing and reliability requirements.…”