Moderate deviations of many-server queues in the Halfin-Whitt regime and weak convergence methods
Anatolii Puhalskii

TL;DR
This paper derives logarithmic asymptotics for moderate deviations in many-server queues under the Halfin-Whitt regime, using weak convergence and Fredholm equations to characterize the deviation function.
Contribution
It introduces a novel approach to analyze moderate deviations in many-server queues with general interarrival and service time distributions, employing weak convergence methods.
Findings
Logarithmic asymptotics of moderate deviations obtained
Deviation function expressed via Fredholm equation
Method applicable to general service time distributions
Abstract
This paper obtains logarithmic asymptotics of moderate deviations of the stochastic process of the number of customers in a many--server queue with generally distributed interarrival and service times in the Halfin--Whitt heavy traffic regime. The deviation function is expressed in terms of the solution to a Fredholm equation of the second kind. The proof uses characterisation of large deviation relatively compact sequences of probability measures as exponentially tight ones.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Queuing Theory Analysis · Probability and Risk Models · Random Matrices and Applications
