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Midgress-aware traffic provisioning for content delivery

Talkat USENIX ATC '20 · 2020-07-15..07-17· [networking]
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Proposes midgress-aware traffic provisioning that assigns hundreds of traffic classes to CDN servers to cut cache-miss (midgress) traffic; uses footprint descriptors and FFT-based convolution to predict miss-rate curves and eviction ages, formulates an MILP for optimal assignment, and implements a fast local-search heuristic that runs quickly at production scale. Evaluation on 25 real traffic classes from Akamai shows near 20% midgress reduction versus midgress-unaware baselines, with the heuristic close to optimal and practical for deployment.

AI-written summary · about

  1. 0:00Start
  2. 1:29Performance and cost metrics
  3. 3:04Cache management
  4. 4:52Traffic provisioning to reduce midgress
  5. 6:22Eviction age equality
  6. 7:16Footprint descriptors
  7. 8:47Traffic mixing using FD calculus
  8. 9:21Traffic provisioning to minimize midgress
  9. 9:59Traffic provisioning as an optimization problem
  10. 12:13Metro-level traffic provisioning Traffic classes
  11. 13:05Trace characteristics
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