A Comprehensive Study of Autonomous Systems and Reliability

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The advancement of technology has heralded novel computing devices and gadgets like self-driving cars, IoT devices,and autonomous systems. These advancements required high computational demand in achieving its goals. In matching the highcomputational demand of these new technologies, machine learning, parallelism, multicore processing and scaling are some of theapproaches and techniques put in place. However, there is a pressure on the architectural development of recent computing devices asthe traditional transistors seem to be fast outgrown. This article examines the reliability of autonomous systems using the PRISMAapproach. Autonomous systems are systems that can fully operate and perform operations (computational or otherwise) with minimalhuman intervention. They are also capable of evaluating their performance. Thus, there is a need for a high degree of reliability.Several existing autonomous systems were reviewed and reliability issues of these systems were discussed. It was discovered that thereliability of a complex system is dependent on the reliability of underlying individual components and compromise of any of theunderlying components of the autonomous system can affect the overall reliability of the entire system. The effort to enhance thereliability of these components will, in turn, improve the reliability of the entire system.

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