~/talk

When Cloud Storage Meets RDMA

on YouTube 11m
Talkat NSDI ’21 · 2021-04-12..04-14· [cloud-infrastructure, networking]

speakers

name:Yixiao Gao
links:none on file
name:Qiang Li
links:none on file
name:Lingbo Tang
links:none on file
name:Yongqing Xi
links:none on file
name:Pengcheng Zhang
links:none on file
name:Wenwen Peng
links:none on file
name:Bo Li
links:none on file
name:Yaohui Wu
links:none on file
name:Shaozong Liu
links:none on file
name:Lei Yan
links:none on file
name:Fei Feng
links:none on file
name:Yan Zhuang
links:none on file
name:Fan Liu
links:none on file
name:Pan Liu
links:none on file
name:Xingkui Liu
links:none on file
name:Zhongjie Wu
links:none on file
name:Junping Wu
links:none on file
name:Zheng Cao
links:none on file
name:Chen Tian
links:none on file
name:Jinbo Wu
links:none on file
name:Jiaji Zhu
links:none on file
name:Haiyong Wang
links:none on file
name:Dennis Cai
linkedin:dennis-cai-45699a2b
name:Jiesheng Wu
links:none on file

resources

video:https://youtu.be/8zziI7UPGmQ
slides:none on file

summary

Pangu integrates RDMA into production cloud storage and reports concrete wins: a user‑space stack (USS OS and USS file system) boosts CPU efficiency by over 5x; UMR and CSO cut memory bandwidth by >30% and raise single‑node throughput. QP explosion drops from ~22,000 to ~1,500 via a thread‑sharing design at a 0.3 µs cost. RDMA/TCP switching and fast detection (~10 s) contain PFC storms. RDMA‑enabled Pangu runs in production for >3 years, serving shopping‑festival traffic.

AI-written summary · about

chapters (5)

  1. 0:00Introduction
  2. 0:56Requirements
  3. 1:32Design
  4. 5:23Availability
  5. 9:29Conclusion

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