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A spectral approach to compute performance measures in a correlated single server queue
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Volume 33 ,  Issue 2  (September 2005) table of contents
Special issue on the workshop on MAthematical performance Modeling And Analysis (MAMA 2005)
Pages: 12 - 14  
Year of Publication: 2005
ISSN:0163-5999
Authors
J. Kumaran  University of Missouri-Kansas City, Knasas City, Mo
K. Mitchell  University of Missouri-Kansas City, Knasas City, Mo
A. van de Liefvoort  University of Missouri-Kansas City, Knasas City, Mo
Publisher
ACM  New York, NY, USA
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ABSTRACT

The coupling matrix was introduced in [8] to compute the performance measures of a PH/PH/1 single server queue. This matrix was extended in [1, 2] to include arrival and service processes that are possibly serially correlated processes, although the service process remains independent of the arrival process and all marginal distributions are matrix exponential, and this current paper is an extended abstract of [2]. The coupling matrix is constructed from the arrival and the service distributions without any computational effort, and the performance measures (such as waiting times and queue length distributions) are derived directly from its spectrum.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
J. Kumaran, K. Mitchell, and A. van de Liefvoort, "An Efficient Solution to the Waiting Time Distribution in a Correlated Single Server Queue," to appear in ITC 19, (Beijing, China).
 
2
J. Kumaran, K. Mitchell, and A. van de Liefvoort, "Steady State solutions for the correlated G/G/I queue using the Spectral Decomposition of the Coupling matrix" Submitted, available as Technical Report http://j.web.umkc.edu/jk343/papers/wait_11_24.pdf.
 
3
L. Lipsky, Queueing Theory: A Linear Algebraic Approach. New York: MacMillan, 1992.
 
4
L. Lipsky, P. Fiorini, W-J. Hsin and A. van de Liefvoort "Auto-Correlation of Lag-κ For Customers Departing From Semi-Markov Processes", Technical Report 342/04/95, Institut für Informatik, Technische Universität München, February 1995
 
5
M. Neuts, "Models based on the Markovian Arrival Process" IEICE Trans Comm, Vol E75-B, no 12, 1992.
 
6
B. Sengupta, "The semi-Markovian queue: Theory and applications," Stochastic Models, vol. 6, no. 3, pp. 383--414, 1990.
 
7
H. Tran, T. Do, "Computational aspects for steady state analysis of QBD processes," Per. Pol. Elec. Eng., vol. 44 no. 2, pp. 179--200, 2000.
 
8
A. van de Liefvoort, "The waiting time distribution and its moments of the PH/PH/1 queue," Operations Research Letters, vol. 9, no. 4, pp. 261--269, 1990.
 
9
 
10
A. van de Liefvoort and Armin Heindl, "Approximating Matrix-Exponential Distributions by Global Randomization", Stochastic Models, vol. 21, no. 2-3, pp. 1--25, 2005.
 
11
W. Smith, "Distribution of Queueing Times", Proc. Cambridge Philos. Soc., vol. 49, pp 449--461, 1953.


Collaborative Colleagues:
J. Kumaran: colleagues
K. Mitchell: colleagues
A. van de Liefvoort: colleagues