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On a Foundation Model for Operating Systems

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arxiv 2312.07813 v1 pith:NBCSYQWO submitted 2023-12-13 cs.OS cs.LG

On a Foundation Model for Operating Systems

Divyanshu Saxena , Nihal Sharma , Donghyun Kim , Rohit Dwivedula , Jiayi Chen , Chenxi Yang , Sriram Ravula , Zichao Hu
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Aditya Akella Sebastian Angel Joydeep Biswas Swarat Chaudhuri Isil Dillig Alex Dimakis P. Brighten Godfrey Daehyeok Kim Chris Rossbach Gang Wang
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classification cs.OS cs.LG
keywords foundationmodeloperatingsystemscomponentsmodelsresearchagenda
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This paper lays down the research agenda for a domain-specific foundation model for operating systems (OSes). Our case for a foundation model revolves around the observations that several OS components such as CPU, memory, and network subsystems are interrelated and that OS traces offer the ideal dataset for a foundation model to grasp the intricacies of diverse OS components and their behavior in varying environments and workloads. We discuss a wide range of possibilities that then arise, from employing foundation models as policy agents to utilizing them as generators and predictors to assist traditional OS control algorithms. Our hope is that this paper spurs further research into OS foundation models and creating the next generation of operating systems for the evolving computing landscape.

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Cited by 1 Pith paper

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  1. SemaTune: Semantic-Aware Online OS Tuning with Large Language Models

    cs.OS 2026-05 unverdicted novelty 7.0

    SemaTune uses LLM guidance with semantic context to tune up to 41 Linux OS parameters, delivering 72.5% performance gains over defaults and 153.3% over non-LLM baselines on 13 workloads while avoiding degraded states.