Abstract
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 high computational demand of these new technologies, machine learning, parallelism, multicore processing and scaling are some of the approaches and techniques put in place. However, there is a pressure on the architectural development of recent computing devices as the traditional transistors seem to be fast outgrown. This article examines the reliability of autonomous systems using the PRISMA approach. Autonomous systems are systems that can fully operate and perform operations (computational or otherwise) with minimal human 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 the reliability of a complex system is dependent on the reliability of underlying individual components and compromise of any of the underlying components of the autonomous system can affect the overall reliability of the entire system. The effort to enhance the reliability of these components will, in turn, improve the reliability of the entire system.
Highlights
The advancement in technological innovation and solutions have seen the birth of many devices and technologies such as the Internet of Things, Cloud computing, intelligent devices, autonomous systems, to mention a few
As more components are being loaded on the computing devices in the bid to meet up with computational demands, and further technology scales, hardware will face numerous sources of errors including process variations, high energy particle strikes, ageing, insufficient burn-in, thermally induced timing errors, and design which will make the design of reliable computing systems extremely difficult [2]
This paper focuses on the reliability assessment of autonomous systems
Summary
The advancement in technological innovation and solutions have seen the birth of many devices and technologies such as the Internet of Things, Cloud computing, intelligent devices, autonomous systems, to mention a few. These systems were built based on different architectural design. The advent of intelligent systems and artificial intelligence have given rise to the development of systems that are autonomous They can fully operate and perform operations (computational or otherwise) with minimal human. A system that requires minimal human intervention and can evaluate its performance to determine its failure or success need a high degree of reliability The action of such systems should be predictable and goals achievable.
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