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EyeQ: Practical Network Performance Isolation at the Edge

on YouTube 25m
Talkat NSDI 2013 · 2013-04-02..04-05· [networking]

speakers

name:Vimalkumar Jeyakumar
links:none on file
name:Mohammad Alizadeh
linkedin:mohammad-alizadeh-2b072241
name:David Mazières
x:dmazieres
name:Balaji Prabhakar
links:none on file
name:Changhoon Kim
links:none on file
name:Albert Greenberg
links:none on file

resources

video:https://youtu.be/2ngxLiGTt9k
slides:none on file

summary

EyeQ enforces per-VM bandwidth guarantees at the server edge using per-VM virtual links and explicit rate feedback (RCP) sampled from incoming packets, implemented as a 10 Gb/s kernel module and a Windows filter driver. A 16-node eval runs 144,000 memcached set/sec (6 KB objects) while an adversarial UDP tenant blasts bursts; EyeQ keeps memcached’s 99.9th percentile latency close to dedicated performance and converges in milliseconds.

AI-written summary · about

chapters (18)

  1. 0:00Introduction
  2. 0:21The past
  3. 0:45The cloud
  4. 0:55Performance variability
  5. 2:10Current status quo
  6. 3:05The problem
  7. 3:56Condition study
  8. 4:33Measurement study
  9. 6:07EyeQ
  10. 7:23Example
  11. 11:55Time Scales
  12. 12:48Failure Scenarios
  13. 14:14EyeQ Overview
  14. 15:03Rate Limiters
  15. 16:09Packet Rate Test
  16. 16:47Latency Test
  17. 19:15Baseline Performance
  18. 20:47Questions

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