The intensity conservation law for queues with randomly changed service rate
- 1 June 1985
- journal article
- research article
- Published by Cambridge University Press (CUP) in Journal of Applied Probability
- Vol. 22 (02) , 408-418
- https://doi.org/10.1017/s0021900200037864
Abstract
König et al. (1978) have derived the so-called intensity conservation law in a stationary process connected with a marked point process (PMP). That law has been shown to be useful in obtaining invariance relations in queues (cf. Franken et al. (1981)). In this paper, somewhat different versions of the intensity conservation laws are derived for a stationary process with jump points. These laws are applied to queues with randomly changed service rate. As special cases, most of equations obtained by König et al.'s law can be derived from this law. Also, we derive some inequalities between characteristic quantities in a queue with a simple type of randomly changed service rate.Keywords
This publication has 8 references indexed in Scilit:
- The derivation of invariance relations in complex queueing systems with stationary inputsAdvances in Applied Probability, 1983
- On the identification of Poisson arrivals in queues with coinciding time-stationary and customer-stationary state distributionsJournal of Applied Probability, 1983
- Simple derivations of the invariance relations and their applicationsJournal of Applied Probability, 1982
- Imbedded and non-imbedded stationary characteristics of queueing systems with varying service rate and point processesJournal of Applied Probability, 1980
- A formal approach to queueing processes in the steady state and their applicationsJournal of Applied Probability, 1979
- Stochastic processes with imbedded marked point processes (pmp) and thcir application in queneingMathematische Operationsforschung und Statistik. Series Optimization, 1978
- Time and customer processes in queues with stationary inputsJournal of Applied Probability, 1977
- Association of Random Variables, with ApplicationsThe Annals of Mathematical Statistics, 1967