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'Learned' Operating Systems

机译:“学习的”操作系统

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With operating systems being at the core of computer systems, decades of research and engineering efforts have been put into the development of OSes. To keep pace with the speed of modern hardware and application evolvement, we argue that a different approach should be taken in future OS development. Instead of relying solely on human wisdom, we should also leverage AI and machine learning techniques to automatically "learn" how to build and tune an OS. This paper explores the opportunities and challenges of the "learned" OS approach and makes recommendation for future researchers and practitioners on building such an OS.
机译:由于操作系统是计算机系统的核心,因此数十年来的研究和工程工作已投入到OS的开发中。为了跟上现代硬件和应用程序演进的速度,我们认为在未来的OS开发中应采用不同的方法。不仅要依靠人类的智慧,我们还应该利用AI和机器学习技术来自动“学习”如何构建和调整操作系统。本文探讨了“学习的”操作系统方法的机遇和挑战,并为未来的研究人员和从业人员推荐了构建这种操作系统的建议。

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