scholarly journals HITTING PROBABILITIES AND HITTING TIMES FOR STOCHASTIC FLUID FLOWS: THE BOUNDED MODEL

2008 ◽  
Vol 23 (1) ◽  
pp. 121-147 ◽  
Author(s):  
Nigel G. Bean ◽  
Małgorzata M. O'Reilly ◽  
Peter G. Taylor

We consider a Markovian stochastic fluid flow model in which the fluid level has a lower bound zero and a positive upper bound. The behavior of the process at the boundaries is modeled by parameters that are different than those in the interior and allow for modeling a range of desired behaviors at the boundaries. We illustrate this with examples. We establish formulas for several time-dependent performance measures of significance to a number of applied probability models. These results are achieved with techniques applied within the fluid flow model directly. This leads to useful physical interpretations, which are presented.

2005 ◽  
Vol 42 (02) ◽  
pp. 531-549 ◽  
Author(s):  
Soohan Ahn ◽  
V. Ramaswami

We derive several algorithms for the busy period distribution of the canonical Markovian fluid flow model. One of them is similar to the Latouche-Ramaswami algorithm for quasi-birth-death models and is shown to be quadratically convergent. These algorithms significantly increase the efficiency of the matrix-geometric procedures developed earlier by the authors for the transient and steady-state analyses of fluid flow models.


2005 ◽  
Vol 115 (9) ◽  
pp. 1530-1556 ◽  
Author(s):  
Nigel G. Bean ◽  
Małgorzata M. O’Reilly ◽  
Peter G. Taylor

2005 ◽  
Vol 42 (2) ◽  
pp. 531-549 ◽  
Author(s):  
Soohan Ahn ◽  
V. Ramaswami

We derive several algorithms for the busy period distribution of the canonical Markovian fluid flow model. One of them is similar to the Latouche-Ramaswami algorithm for quasi-birth-death models and is shown to be quadratically convergent. These algorithms significantly increase the efficiency of the matrix-geometric procedures developed earlier by the authors for the transient and steady-state analyses of fluid flow models.


2005 ◽  
Vol 59 (1) ◽  
pp. 19-46 ◽  
Author(s):  
V. Aggarwal ◽  
N. Gautam ◽  
S.R.T. Kumara ◽  
M. Greaves

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