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CBMM: Financial Advice for Kernel Memory Managers

Talkat USENIX ATC '22 · 2022-07-11..07-13
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CBMM implements a kernel component called the CBMM estimator that consults empirical cost-benefit models and per-workload profiles to decide actions like huge page promotion. A Linux prototype shows soft page-fault latencies cut by 1–3 orders of magnitude, the most expensive soft faults reduced 2–3 orders, 10–1000 μs faults drop ~2 orders, and with fragmentation overall runtime improves ~35% versus stock Linux. Decisions use measured zeroing/compaction costs and profiled TLB-miss benefits at page granularity.

AI-written summary · about

  1. 0:00Intro
  2. 0:21Kernel Memory Management
  3. 1:01Modern 1st-party Datacenter Workload
  4. 2:01Low-Quality Information
  5. 4:08Cost-Unaware Policies
  6. 5:16Scattered implementations
  7. 5:58Roadmap
  8. 7:02CBMM: KEY IDEA
  9. 7:42CBMM Design: Overview
  10. 9:22Creating and Implementing Models
  11. 11:29Example: Huge Page Cost-Benefit Model
  12. 12:21Profile Generation and Maintenance
  13. 14:29Implementation and Evaluation Implementation based on Linux
  14. 17:08Performance (Normalized Workload Runtime)
  15. 17:27Performance Normalized Workload Runt
  16. 18:19Conclusion
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