Semantic Scholar Open Access 2019 60 sitasi

"Learned"

Yiying Zhang Yutong Huang

Abstrak

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.

Penulis (2)

Yiying Zhang

Yutong Huang

Format Sitasi

APA MLA BibTeX

Zhang, Y., Huang, Y. (2019). "Learned". https://doi.org/10.1145/3352020.3352027

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Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Total Sitasi: 60×
Sumber Database: Semantic Scholar
DOI: 10.1145/3352020.3352027
Akses: Open Access ✓