2012
DOI: 10.1080/15326349.2011.614900
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Perturbation Bounds forMt/Mt/NQueue with Catastrophes

Abstract: This articles focuses on M t /M t /N queue with catastrophes and obtains stability bounds for the main characteristics of the respective queue-length process.

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Cited by 41 publications
(31 citation statements)
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“…for any s and t such that 0 ≤ s ≤ t. The next statement follows immediately from Theorem 1 of Zeifman and Korotysheva (2012), see also the general approach of .…”
Section: A(t) Where the Perturbation Matrixâ(t) = A(t) −ā(T)mentioning
confidence: 74%
See 1 more Smart Citation
“…for any s and t such that 0 ≤ s ≤ t. The next statement follows immediately from Theorem 1 of Zeifman and Korotysheva (2012), see also the general approach of .…”
Section: A(t) Where the Perturbation Matrixâ(t) = A(t) −ā(T)mentioning
confidence: 74%
“…We can apply the approach of Zeifman and Korotysheva (2012). Namely, rewrite the forward Kolmogorov equation (3) as…”
Section: Proofmentioning
confidence: 99%
“…Arbitrary intensity functions instead of periodic ones can be considered in the same manner. Finally, we would like to remark that all of our results can be applied to birth and death process with catastrophes; see perturbation bounds in the work of Zeifman and Korotysheva (2012) and the bounds on the rate of convergence given by Zeifman et al (2013a).…”
Section: Resultsmentioning
confidence: 99%
“…Bounds on the rate of convergence, truncations and stability for this process were obtained by Granovsky and Zeifman (2004), Zeifman (1995b;1995a), Zeifman et al (2006) as well as Zeifman and Korotysheva (2012). Here we improve estimates of the truncation error.…”
Section: T /M T /S Queuementioning
confidence: 99%
“…Zeifman et al [67,69] studied the truncation of a weakly ergodic non-time-homogeneous birthand-death process with bounded transition rates (see also Zeifman and Korolev [66], Zeifman et al [68]). Hart and Tweedie [24] discussed the convergence of the stationary distribution vectors of the augmented northwest-corner truncations of continuous-time Markov chains with monotonicity or exponential ergodicity.…”
Section: Q(n −mentioning
confidence: 99%