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Xkernel: Principled Performance Tunability of Operating System Kernels

Zhongjie Chen, Wentao Zhang, Yulong Tang, Ran Shu, Fengyuan Ren, Tianyin Xu, Jing Liu

2026年份
2被引次数

摘要

The Linux kernel is permeated with constant values that are critical to system performance. Many of these constants, referred to as perf-consts , are magic numbers with brittle assumptions on hardware and workloads. Unfortunately, there is no capability of in-situ tuning of perf-const values on deployed kernels. This paper rethinks OS performance tunability. We present Xkernel, a system that offers a safe, efficient, and programmable interface for in-situ tuning of any perf-consts directly on a running kernel. Xkernel transforms any perf-const into a tunable knob on demand using a novel approach called Scoped Indirect Execution (SIE). SIE captures precise binary boundaries where a perf-const enters system state and redirects control to synthesized instructions that update the state as if new values were used. Xkernel goes beyond version atomicity when updating perf-consts to guarantee side-effect safety, a property notably absent in existing kernel update mechanisms. Case studies on various OS subsystems demonstrate significant performance benefits of tuning perf-consts which is made possible by Xkernel.

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