Freedom from Interference Challenges for Adaptive Autosar Based Platform

<div class="section abstract"><div class="htmlview paragraph">This paper examines the challenges and mechanisms for ensuring Freedom from Interference in Adaptive AUTOSAR-based platforms, with a focus on managing Memory, Timing, and Execution challenges. It explores the robust safety mechanisms in Classic AUTOSAR that ensure Freedom from Interference and the significant challenges in achieving interference-free operation in Adaptive AUTOSAR environments while adhering to ISO26262 standards. The study emphasizes strategies for managing complexities and outlines the multifaceted landscape of achieving interference-free operation. Additionally, it discusses ASIL-compliant Hypervisor, memory partitioning, and Platform Health Management as mechanisms for ensuring safety execution. The paper also raises open questions regarding real-time problems in live projects that are not solved with existing safety mechanisms. Adaptive AUTOSAR plays a crucial role in the development of autonomous and connected vehicles, where functional safety is of utmost importance. This framework ensures that critical safety requirements are met, providing a reliable and secure platform for advanced vehicular functionalities. The paper sheds light on the challenges and strategies for ensuring interference-free operation in Adaptive AUTOSAR-based platforms, offering insights into managing complexities and adhering to safety standards. It also addresses the open question of real-time problems in live projects that remain unsolved by existing safety mechanisms.</div></div>