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Here, There and Everywhere: The Past, the Present and the Future of Local Storage in...

Talkat FAST '26 · 2026-02-24..02-26· [cloud-infrastructure]
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name:Gong Zeng
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name:Li Zhang
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name:Ruilin Wu
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name:Shiyi Luo
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name:Wenrui Li
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name:Jiaji Zhu
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name:Wayne Gao
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name:Erci Xu
linkedin:ercixu
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slides:none on file

Cloud local storage evolution is traced from Espresso (SPDK user-space poll), which cuts kernel context-switch overhead but wastes CPU (99% of nodes show <60% effective utilization and 5–12 µs syscall overhead), to Doppio (ASIC offload), which removes host CPU but lags SSD advances, to Ristretto (ASIC+SOC) that balances offload and cloud features. A hybrid Latte (ML dispatcher + admission controller) prototype combines local cache with EBS backend, hits ~18% cache rate, delivers near-physical latency and lower cost than EBSX 30µs (EBSX is ~20× costlier) while reducing tail latency and surviving GC.

AI-written summary · about

  1. 0:00Local storage evolution
  2. 1:22Kernel limits with NVMe SSDs
  3. 2:49SPDK Espresso cloud limits
  4. 3:54ASIC Doppio challenges
  5. 5:39Ristretto ASIC/SOC co-design
  6. 7:22Local storage limits vs EBS
  7. 8:48EBSX with persistent memory
  8. 9:11Latte hybrid storage
  9. 10:57Evaluation setup
  10. 13:49Cost comparison
  11. 14:13Local storage summary
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