A single-server queue with server vacations and a class of non-renewal arrival processes

David M. Lucantoni, K.S. Meier-Hellstern, Marcel F. Neuts

Advances in Applied Probability · 1990 · 65 citations · 15 references

Concepts

TL;DR

The service, vacation, and arrival processes are assumed mutually independent. The study investigates a single‑server queue with server vacations when the system empties and introduces a new class of non‑renewal arrival processes. The model employs independent, identically distributed service and vacation times with general distributions, incorporates Markov‑modulated Poisson and phase‑type renewal superpositions, and discusses algorithmic implementation. The authors derive algorithmically tractable equations for waiting‑time and queue‑length distributions at arbitrary times, arrivals, and departures, and generalize and obtain new factorizations beyond the renewal case.

Abstract

We study a single-server queue in which the server takes a vacation whenever the system becomes empty. The service and vacation times and the arrival process are all assumed to be mutually independent. The successive service times and the vacation times each form independent, identically distributed sequences with general distributions. A new class of non-renewal arrival processes is introduced. As special cases, it includes the Markov-modulated Poisson process and the superposition of phase-type renewal processes. Algorithmically tractable equations for the distributions of the waiting times at an arbitrary time and at arrivals, as well as for the queue length at an arbitrary time, at arrivals, and at departures are established. Some factorizations, which are known for the case of renewal input, are generalized to this new framework and new factorizations are obtained. The algorithmic implementation of these results is discussed.

References

15