Matrix-geometric algorithms for stochastic fluid flows

Soohan Ahn; V. Ramaswami

doi:10.1145/1190095.1190113

Matrix-geometric algorithms for stochastic fluid flows

Soohan Ahn, V. Ramaswami

Department of Statistics

AT&T

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper surveys the algorithms for steady state and transient analyses of stochastic fluid flow models developed by the authors and conveniently brings together the disparate set of results reported in papers strewn across a variety of journals. A discussion is provided of some additional care that is needed while implementing the algorithms to take care of the fact that the transient distributions may have atoms of non-negligible size.

Original language	English
Title of host publication	Proceedings of VALUETOOLS
Subtitle of host publication	1st International Conference on Performance Evaluation Methodologies and Tools
DOIs	https://doi.org/10.1145/1190095.1190113
State	Published - 2006
Event	VALUETOOLS: 1st International Conference on Performance Evaluation Methodologies and Tools - Pisa, Italy Duration: 11 Oct 2006 → 13 Oct 2006

Publication series

Name	ACM International Conference Proceeding Series
Volume	180

Conference

Conference	VALUETOOLS: 1st International Conference on Performance Evaluation Methodologies and Tools
Country/Territory	Italy
City	Pisa
Period	11/10/06 → 13/10/06

Keywords

Fluid-flow
Matrix-geometric method

Access to Document

10.1145/1190095.1190113

Cite this

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title = "Matrix-geometric algorithms for stochastic fluid flows",

abstract = "This paper surveys the algorithms for steady state and transient analyses of stochastic fluid flow models developed by the authors and conveniently brings together the disparate set of results reported in papers strewn across a variety of journals. A discussion is provided of some additional care that is needed while implementing the algorithms to take care of the fact that the transient distributions may have atoms of non-negligible size.",

keywords = "Fluid-flow, Matrix-geometric method",

author = "Soohan Ahn and V. Ramaswami",

year = "2006",

doi = "10.1145/1190095.1190113",

language = "English",

isbn = "1595935045",

series = "ACM International Conference Proceeding Series",

booktitle = "Proceedings of VALUETOOLS",

note = "VALUETOOLS: 1st International Conference on Performance Evaluation Methodologies and Tools ; Conference date: 11-10-2006 Through 13-10-2006",

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Ahn, S & Ramaswami, V 2006, Matrix-geometric algorithms for stochastic fluid flows. in Proceedings of VALUETOOLS: 1st International Conference on Performance Evaluation Methodologies and Tools., 1190113, ACM International Conference Proceeding Series, vol. 180, VALUETOOLS: 1st International Conference on Performance Evaluation Methodologies and Tools, Pisa, Italy, 11/10/06. https://doi.org/10.1145/1190095.1190113

Matrix-geometric algorithms for stochastic fluid flows. / Ahn, Soohan; Ramaswami, V.
Proceedings of VALUETOOLS: 1st International Conference on Performance Evaluation Methodologies and Tools. 2006. 1190113 (ACM International Conference Proceeding Series; Vol. 180).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ramaswami, V.

PY - 2006

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N2 - This paper surveys the algorithms for steady state and transient analyses of stochastic fluid flow models developed by the authors and conveniently brings together the disparate set of results reported in papers strewn across a variety of journals. A discussion is provided of some additional care that is needed while implementing the algorithms to take care of the fact that the transient distributions may have atoms of non-negligible size.

AB - This paper surveys the algorithms for steady state and transient analyses of stochastic fluid flow models developed by the authors and conveniently brings together the disparate set of results reported in papers strewn across a variety of journals. A discussion is provided of some additional care that is needed while implementing the algorithms to take care of the fact that the transient distributions may have atoms of non-negligible size.

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KW - Matrix-geometric method

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DO - 10.1145/1190095.1190113

M3 - Conference contribution

AN - SCOPUS:34748856769

SN - 1595935045

SN - 9781595935045

T3 - ACM International Conference Proceeding Series

BT - Proceedings of VALUETOOLS

T2 - VALUETOOLS: 1st International Conference on Performance Evaluation Methodologies and Tools

Y2 - 11 October 2006 through 13 October 2006

ER -

Matrix-geometric algorithms for stochastic fluid flows

Abstract

Publication series

Conference

Keywords

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