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An approximate solution for Ph/Ph/1 and Ph/Ph/1/N queues

Authors: Brandwajn, Alexandre; Begin, Thomas;

An approximate solution for Ph/Ph/1 and Ph/Ph/1/N queues

Abstract

We propose a simple approximation to assess the steady-stateprobabilities of the number of customers in Ph/Ph/1 andPh/Ph/1/N queues, as well as probabilities found on arrival,including the probability of buffer overflow for the Ph/Ph/1/Nqueue. The phase-type distributions considered are assumed to beacyclic. Our method involves iteration between solutions of anM/Ph/1 queue with state-dependent arrival rate and a Ph/M/1queue with state-dependent service rate. We solve these queuesusing simple and efficient recurrences. By iterating between thesetwo simpler models our approximation divides the state space, andis thus able to easily handle phase-type distributions with largenumbers of stages (which might cause problems for classicalnumerical solutions). The proposed method converges typicallywithin a few tens of iterations, and is asymptotically exact forqueues with unrestricted queueing room. Its overall accuracy isgood: generally within a few percent of the exact values, exceptwhen both the inter-arrival and the service time distributionsexhibit low variability. In the latter case, especially undermoderate loads, the use of our method is not recommended.

Country
France
Keywords

[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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