Matrix-geometric algorithms for stochastic fluid flows

Author(s):  
Soohan Ahn ◽  
V. Ramaswami
2005 ◽  
Vol 21 (1) ◽  
pp. 149-184 ◽  
Author(s):  
Nigel G. Bean ◽  
Małgorzata M. O'Reilly ◽  
Peter G. Taylor
Keyword(s):  

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.


2015 ◽  
Vol 82 (1-2) ◽  
pp. 43-73 ◽  
Author(s):  
Barbara Margolius ◽  
Małgorzata M. O’Reilly

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

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