This site presents some of our work related to the numerical analysis
of queueing systems. We provide the solution for some classical models
of queues.
The G/M/clike queue
The solution to this queue with multiple servers is fast, based on a
simple recurrence and numerically stable.
The M/G/1like queue
The solution to this classical queue is fast, based on a simple
recurrence and numerically stable.
The M/G/clike queue (New)
The solution to this classical queue is based on a simple yet
accurate approximation using a reducedstate description.
The G/G/clike queue (Beta version)
The solution to this classical queue is found using the solutions of
two simpler models, i.e. M/G/clike and G/M/clike
queues.
We are working
to include more models
Associated publications

[1] A Recurrent Solution of Ph/M/c/Nlike and Ph/M/clike
Queues. A. Brandwajn, T. Begin – Journal of Applied
Probability, Volume 49, Number 1, Pages 8499.

[2] A tool for solving Ph/M/c and Ph/M/c/N
queues. T. Begin, A. Brandwajn, – Proceedings of the 9th ACM
International Conference on Quantitative Evaluation of SysTems,
QEST12.

[3] A conditional probability approach to M/G/1like
queues. A. Brandwajn, H. Wang – Performance Evaluation, Volume
65, Issue 5, 2008, Pages 386405.

[4] Reduced complexity in M/Ph/c/N queues. A.
Brandwajn, T. Begin – Performance Evaluation, Volume 78, 2014, Pages
4254.

[5] Reducing the complexity of performance analysis of a
multiserver facilities. T. Atmaca, T. Begin, A. Brandwajn, H. Castel – Technical
Report, 2014.
Compatible browsers
This site is compatible with the following
browsers:
 Google Chrome
 Internet Explorer 9.0
 Safari 5
 Firefox 3.x, 4.x and 7.x
If you use IE 8.0, the steadystate
distribution for the number of customers in the system will not be
displayed as a plot, but instead as a table since svg format is not
supported.
Acknowledgement
Many thanks to Dominique Ponsard and Lucas
Delobelle for their help.
Last update: January 2015