On convergence rate for an infinite-channel queuing system with Poisson input flow
Eleonora Golovastova

TL;DR
This paper investigates the convergence rate of a regenerative process in an infinite-channel queueing system with Poisson input, focusing on how quickly the system approaches its stationary regime.
Contribution
It provides new estimates for the convergence rate of the queueing process with infinite servers and Poisson arrivals, enhancing understanding of its long-term behavior.
Findings
Derived bounds for convergence speed to stationarity
Analyzed the impact of Poisson input on system stability
Provided mathematical estimates for regenerative process convergence
Abstract
Obtaining estimates of the convergence rate of the regenerating process whose value at time is equal to the number of claims in the system at this moment, to the limit (stationary) regime.
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Taxonomy
TopicsAdvanced Queuing Theory Analysis · Stochastic processes and financial applications · Markov Chains and Monte Carlo Methods
