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Closed-Loop Control of Network Processes

Talkat Real-Time Decision Making · on Friday, 2016-07-01· [distributed-systems]
links:none on file
slides:none on file

Presents a closed‑loop treatment of the SIS epidemic on a graph, modeling infections as a SIS continuous-time Markov chain and curing as a reallocatable budget. Proves a threshold: if curing budget exceeds the graph’s cut width (mesh ~ cut width ~ sqrt(N)), a policy that tracks a deterministic crusade drives rapid extinction; if budget falls below the cut width extinction time becomes exponential. Builds a provable, stylized policy (shooting resources at one node at a time) and documents many practical gaps.

AI-written summary · about

  1. 0:00Introduction
  2. 3:24Network Science
  3. 5:43Static Interventions
  4. 8:04Epidemic Model
  5. 10:30Literature
  6. 13:17Approximate Dynamic Programming
  7. 17:38Curing Resources
  8. 20:34Cut Width
  9. 21:44Cut Width Theorem
  10. 31:24Questions
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