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Characterization of the Output Rate Process for a Markovian Storage Model

Published online by Cambridge University Press:  14 July 2016

Samuli Aalto*
Affiliation:
Helsinki University of Technology
*
Laboratory of Telecommunications Technology, Helsinki University of Technology, PO Box 3000, FIN-02015 HUT, Finland. e-mail address: samuli.aalto@hut.fi

Abstract

We consider storage models where the input rate and the demand are modulated by a Markov jump process. One particular example from teletraffic theory is a fluid model of a multiplexer loaded by exponential on-off sources. Although the storage level process has been widely studied, little attention has been paid to the output rate process. We will show that, under certain assumptions, there exists another Markov jump process that modulates the output rate. The modulating process is explicitly constructed. It turns out to be a modification of a GI/G/1 queueing process

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1998 

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References

Aalto, S. (1994). Output from an A-M-S type fluid queue. In The Fundamental Role of Teletraffic in the Evolution of Telecommunications Networks. ed. Labetoulle, J. and Roberts, J.W. Elsevier, Amsterdam. pp. 421430.CrossRefGoogle Scholar
Anick, D., Mitra, D., and Sondhi, M.M. (1982). Stochastic theory of a data-handling system with multiple sources. Bell System Tech. J. 61, 18711894.CrossRefGoogle Scholar
Igelnik, B., Kogan, Y., Kriman, V., and Mitra, D. (1995). A new computational approach for stochastic fluid models of multiplexers with heterogeneous sources. Queueing Systems 20, 85116.Google Scholar
Kosten, L. (1974). Stochastic theory of a multi-entry buffer (I). Delft Prog. Rep. 1, 1018.Google Scholar
Kosten, L. (1984). Stochastic theory of data handling systems with groups of multiple sources. In Performance of Computer Communication Systems. ed. Rudin, H. and Bux, W. Elsevier, Amsterdam. pp. 321331.Google Scholar
Pacheco, A., and Prabhu, N.U. (1996). A Markovian storage model. Ann. Appl. Prob. 6, 1, 7691.Google Scholar
Prabhu, N.U. (1965). Queues and Inventories. Wiley, New York.Google Scholar
Prabhu, N.U., and Pacheco, A. (1995). A storage model for data communication systems. Queueing Systems 19, 140.CrossRefGoogle Scholar
Virtamo, J., and Norros, I. (1994). Fluid queue driven by an M/M/1 queue. Queueing Systems 16, 373386.Google Scholar