Large-time asymptotics for the G_t/M_t/s_t + GI_t many-server fluid queue with abandonment

摘要

We previously introduced and analyzed the G_t/M_t/s_t + GI_t, many-server fluid queue with time-varying parameters, intended as an approximation for the corresponding stochastic queueing model when there are many servers and the system experiences periods of overload. In this paper, we establish an asymptotic loss of memory (ALOM) property for that fluid model, i.e., we show that there is asymptotic independence from the initial conditions as time t evolves, under regularity conditions. We show that the difference in the performance functions dissipates over time exponentially fast, again under the regularity conditions. We apply ALOM to show that the stationary G/M/s + GI fluid queue converges to steady state and the periodic G_t/M_t/s_t + GI_tt fluid queue converges to a periodic steady state as time evolves, for all finite initial conditions.