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Optimizing Network Provisioning through Cooperation

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Cloud inter-DC provisioning uses application-declared deadlines and link failure time-series to cut capacity needs by about 30–45% on real substrate data. A two-step proof-of-concept pipeline first does rate-based provisioning for immediate demands, then a packing-style volume-based provisioning for deferrable demands; it clusters correlated links, samples time-to-repair/time-between-failure distributions, and simulates failures to schedule deferrable traffic into valleys. Results on a tier‑1 cloud and a large collaboration service show time‑shifting plus informed redundancy provisioning yields the reported savings.

AI-written summary · about

  1. 0:00Intro
  2. 0:35Optimizing WAN
  3. 1:15Network Provisioning
  4. 2:10First-party application cooperation
  5. 3:33Demand differentiation
  6. 5:05Optimizing the Provisioning plane
  7. 5:30A. Time Shifting to Cap the Peak
  8. 6:38B. Informed redundancy provisioning
  9. 8:38Link Failure Simulation
  10. 11:26Time-series link failure modeling
  11. 12:56Capacity savings using Approv
  12. 14:56Sensitivity of capacity with deadline an availability
  13. 15:29Conclusion
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