In this paper, we analyze the delay performance of queueing systems in which the service rate varies with time and the number of service states may be infinite. Except in some simple special cases, in general, the queueing model with varying service rate is mathematically intractable. Motivated by the P-K formula for M/G/1 queue, we developed a limiting analysis approach based on the connection between the fluctuation of service rate and the mean queue length. Considering the two extreme service rates, we provide a lower bound and upper bound of mean queue length. Furthermore, an approximate mean queue length formula is derived from the convex combination of these two bounds. The accuracy of our approximation has been confirmed by extensive simulation studies with different system parameters. We also verified that all limiting cases of the system behavior are consistent with the predictions made by our formula.
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The continuous time Markov chain of the server process
The continuous-time Markov chain of the queueing model
The fluctuation of service rate
The first and second moments of service time increase with the variance of the service rate
Service rate becomes a constant when system reaches equilibrium
The two-state extreme scenario
The transition diagram of the two service states
Mean queue length
Overload and underload regions
Overload probability
Mean queue length in overload region
Simulation and approximation results of mean queue lengths