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The classification of matrix GI/M/1-type Markov chains with a tree structure and its applications to queueing

Published online by Cambridge University Press:  14 July 2016

Qi-Ming He*
Affiliation:
Dalhousie University
*
Postal address: Department of Industrial Engineering, Dalhousie University, Halifax, Nova Scotia B3J 2X4, Canada. Email address: qi-ming.he@dal.ca

Abstract

In this paper, we study the classification of matrix GI/M/1-type Markov chains with a tree structure. We show that the Perron–Frobenius eigenvalue of a Jacobian matrix provides information for classifying these Markov chains. A fixed-point approach is utilized. A queueing application is presented to show the usefulness of the classification method developed in this paper.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 2003 

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References

Gajrat, A. S., Malyshev, V. A., Menshikov, M. V., and Pelih, K. D. (1995). Classification of Markov chains describing the evolution of a string of characters. Uspekhi Mat. Nauk 50, 524.Google Scholar
Gantmacher, F. R. (1959). The Theory of Matrices. Chelsea, New York.Google Scholar
Goebel, K., and Kirk, W. A. (1990). Topics In Metric Fixed Point Theory. Cambridge University Press.CrossRefGoogle Scholar
He, Q.-M. (2000). Classification of Markov processes of M/G/1-type with a tree structure and its applications to queueing models. Operat. Res. Lett. 26, 6780.Google Scholar
He, Q.-M. (2000). Classification of Markov processes of matrix M/G/1-type with a tree structure and its applications to queueing models. Stoch. Models 16, 407433.Google Scholar
He, Q.-M. (2003). A fixed point approach to the classification of Markov chains with a tree structure. Stoch. Models 19, 76114.CrossRefGoogle Scholar
He, Q.-M., and Alfa, A. S. (2000). The discrete time MMAP[K]/PH[K]/1/LCFS-GPR queue and its variants. In Advances in Algorithmic Methods for Stochastic Models (Proc. 3rd Internat. Conf. Matrix Analytic Methods), eds Latouche, G. and Taylor, P. G., Notable Publications, Neshanic Station, NJ, pp. 167190.Google Scholar
He, Q.-M., and Li, H. (2002). A linear program approach to ergodicity of M/G/1 type Markov chains with a tree structure. In Matrix-Analytic Methods, World Scientific, River Edge, NJ, pp. 147162.Google Scholar
Neuts, M. F. (1981). Matrix-Geometric Solutions in Stochastic Models. An Algorithmic Approach. Johns Hopkins University Press, Baltimore, MD.Google Scholar
Neuts, M. F. (1989). Structured Stochastic Matrices of M/G/1 type and Their Applications. Marcel Dekker, New York.Google Scholar
Seneta, E. (1973). Non-Negative Matrices: An Introduction to Theory and Applications. John Wiley, New York.Google Scholar
Takine, T. (2001). A recent progress in algorithmic analysis of FIFO queues with Markovian arrival streams. J. Korean Math. Soc. 38, 807842.Google Scholar
Takine, T., Sengupta, B., and Yeung, R. W. (1995). A generalization of the matrix M/G/1 paradigm for Markov chains with a tree structure. Stoch. Models 11, 411421.Google Scholar
Van Houdt, B., and Blondia, C. (2001). Stability and performance of stack algorithms for random access communication modeled as a tree structured QBD Markov chain. Stoch. Models 17, 247270.Google Scholar
Yeung, R. W., and Sengupta, B. (1994). Matrix product-form solutions for Markov chains with a tree structure. Adv. Appl. Prob. 26, 965987.Google Scholar