The MMAP/M/R/0 queueing system with reservation of servers operating in a random environment

The MMAP/M/R/0 queueing system with reservation of servers operating in a random environment We consider a multiserver queueing system without buffer, with customers of two types, operating in a random environment. The system is fed by a marked Markovian arrival process which depends on the environment state. Customers of the first type have absolute priority over customers of the second type. Instantaneous service rates are piecewise constant with parameters depending on the customer type and the current environment state. The system behavior is described by a continuous-time multivariate Markov chain. We present a generator of this chain in a block-tridiagonal form. We briefly describe the procedure for finding a stationary probability distribution of system states and obtain formulas for the main probabilistic characteristics of the system in terms of the stationary distribution. An algorithm for computing the Laplace–Stieltjes transform of the sojourn time for an arbitrary customer of the first type is obtained. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Problems of Information Transmission Springer Journals

The MMAP/M/R/0 queueing system with reservation of servers operating in a random environment

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Publisher
Springer Journals
Copyright
Copyright © 2015 by Pleiades Publishing, Inc.
Subject
Engineering; Communications Engineering, Networks; Electrical Engineering; Information Storage and Retrieval; Systems Theory, Control
ISSN
0032-9460
eISSN
1608-3253
D.O.I.
10.1134/S0032946015030060
Publisher site
See Article on Publisher Site

Abstract

We consider a multiserver queueing system without buffer, with customers of two types, operating in a random environment. The system is fed by a marked Markovian arrival process which depends on the environment state. Customers of the first type have absolute priority over customers of the second type. Instantaneous service rates are piecewise constant with parameters depending on the customer type and the current environment state. The system behavior is described by a continuous-time multivariate Markov chain. We present a generator of this chain in a block-tridiagonal form. We briefly describe the procedure for finding a stationary probability distribution of system states and obtain formulas for the main probabilistic characteristics of the system in terms of the stationary distribution. An algorithm for computing the Laplace–Stieltjes transform of the sojourn time for an arbitrary customer of the first type is obtained.

Journal

Problems of Information TransmissionSpringer Journals

Published: Oct 18, 2015

References

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