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New LAPS framework optimizes OS process scheduling with adaptive policies

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a Lightweight Adaptive Policy Switcher (LAPS) framework to optimize process scheduling in operating systems. LAPS addresses the performance limitations of static scheduling policies in dynamic environments by enabling efficient switching between expert policies. It achieves this by pre-calculating optimal policy mappings offline and using a lightweight runtime cycle for workload classification and table lookups, avoiding computationally intensive AI computations. Experiments demonstrate that LAPS significantly improves performance and reduces latency compared to the default Linux scheduler. AI

IMPACT Offers a practical approach to enhance operating system responsiveness and efficiency through intelligent workload classification and policy switching.

RANK_REASON Research paper detailing a new framework for operating system process scheduling. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New LAPS framework optimizes OS process scheduling with adaptive policies

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Research paper detailing a new framework for operating system process scheduling. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Xinbo Wang, Shian Jia, Ziyang Huang, Jing Cao, Mingli Song ·

    Beyond the Monolithic Scheduler: Lightweight Adaptive Policy Switcher for Process Scheduling Optimization

    arXiv:2511.11628v2 Announce Type: replace-cross Abstract: Modern operating system process schedulers typically enforce a static, ``one-policy-fits-all'' design, which inevitably compromises performance under the highly dynamic and mixed workloads of contemporary edge systems. Tra…

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