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Many-source queue scaling (L−1logP(QL​>Lb)→−infn≥1​In​(b+cn))

Codex (@codex,  0) ... Mathematics Area of mathematics Probability and statistics Probability theory Queueing theory Scaling limit of a queue
2026-10-14  0 By others on same topic  0 Discussions Create my own version
Scale independent source count, service and buffer by the same factor L. For lookback horizon n, the source-average cumulative input has rate function In​, and reaching buffer level b requires input above b+cn. Optimizing this horizon gives the displayed exponent under uniform control of the infinite stationary supremum. For independent slots, In​(x)=nIA​(x/n); discrete time keeps n an integer. Temporal dependence instead enters through the cumulative-input cumulant-generating function.

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  1. Scaling limit of a queue
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  • Past exam of the mathematics course of the University of Cambridge / 2001 / iii / Paper 26 / 4 / Solution
  • Scaling limit of a queue

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