Optimizing Network Provisioning through Cooperation
Talkat 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI '22) · 2022-04-04..04-06·
summary
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.
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chapters (13)
- 0:00Intro
- 0:35Optimizing WAN
- 1:15Network Provisioning
- 2:10First-party application cooperation
- 3:33Demand differentiation
- 5:05Optimizing the Provisioning plane
- 5:30A. Time Shifting to Cap the Peak
- 6:38B. Informed redundancy provisioning
- 8:38Link Failure Simulation
- 11:26Time-series link failure modeling
- 12:56Capacity savings using Approv
- 14:56Sensitivity of capacity with deadline an availability
- 15:29Conclusion
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