Infinite-and finite-buffer Markov fluid queues: a unified analysis
dc.citation.epage | 569 | en_US |
dc.citation.issueNumber | 2 | en_US |
dc.citation.spage | 557 | en_US |
dc.citation.volumeNumber | 41 | en_US |
dc.contributor.author | Akar, N. | en_US |
dc.contributor.author | Sohraby, K. | en_US |
dc.date.accessioned | 2016-02-08T10:26:51Z | |
dc.date.available | 2016-02-08T10:26:51Z | |
dc.date.issued | 2004 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description.abstract | In this paper, we study Markov fluid queues where the net fluid rate to a single-buffer system varies with respect to the state of an underlying continuous-time Markov chain. We present a novel algorithmic approach to solve numerically for the steady-state solution of such queues. Using this approach, both infinite- and finite-buffer cases are studied. We show that the solution of the infinite-buffer case is reduced to the solution of a generalized spectral divide-and-conquer (SDC) problem applied on a certain matrix pencil. Moreover, this SDC problem does not require the individual computation of any eigenvalues and eigenvectors. Via the solution for the SDC problem, a matrix-exponential representation for the steady-state queue-length distribution is obtained. The finite-buffer case, on the other hand, requires a similar but different decomposition, the so-called additive decomposition (AD). Using the AD, we obtain a modified matrix-exponential representation for the steady-state queue-length distribution. The proposed approach for the finite-buffer case is shown not to have the numerical stability problems reported in the literature. | en_US |
dc.identifier.doi | 10.1239/jap/1082999086 | en_US |
dc.identifier.eissn | 1475-6072 | |
dc.identifier.issn | 0021-9002 | |
dc.identifier.uri | http://hdl.handle.net/11693/24279 | |
dc.language.iso | English | en_US |
dc.publisher | Applied Probability Trust | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1239/jap/1082999086 | en_US |
dc.source.title | Journal of Applied Probability | en_US |
dc.subject | Computer network | en_US |
dc.subject | Generalized Newton iteration | en_US |
dc.subject | Markov fluid queue | en_US |
dc.subject | Performance analysis | en_US |
dc.subject | Spectral divide-and-conquer problem | en_US |
dc.subject | Stochastic fluid model | en_US |
dc.title | Infinite-and finite-buffer Markov fluid queues: a unified analysis | en_US |
dc.type | Article | en_US |
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