Self-Tuning Linux Kernels: How LLM-Driven Agents Are Reinventing Scheduler Policies
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Modern computing systems rely heavily on operating-system schedulers to allocate CPU time fairly and efficiently. Yet many of these schedulers operate blindly with respect to the meaning of workloads: they cannot distinguish, for example, whether a task is latency-sensitive or batch-oriented. This mismatch, between application semantics and scheduler heuristics, is often referred to as the semantic gap. A recent research framework called SchedCP aims to close that gap.
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