Design and implementation of a reduced base model construction technique for stochastic activity networks

Persistent Link:
http://hdl.handle.net/10150/277849
Title:
Design and implementation of a reduced base model construction technique for stochastic activity networks
Author:
Rai, Manish, 1968-
Issue Date:
1990
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
Performance/dependability evaluation via modeling results in fast and economic system development. Traditionally, simulations have been used to evaluate realistic systems but do not yield exact results. Analytic solution methods can yield exact results, but can suffer from the state-space explosion problem. A reduced base model construction technique for stochastic activity networks, which exploits the net structure to generate a considerably reduced state-space for systems with high degree of replication, has been developed. An implementation of this technique shows that it can be successfully used for efficiently evaluating realistic systems, previously considered unsolvable by traditional stochastic Petri net methods.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Engineering, Electronics and Electrical.; Computer Science.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College
Degree Grantor:
University of Arizona
Advisor:
Sanders, William H.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleDesign and implementation of a reduced base model construction technique for stochastic activity networksen_US
dc.creatorRai, Manish, 1968-en_US
dc.contributor.authorRai, Manish, 1968-en_US
dc.date.issued1990en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractPerformance/dependability evaluation via modeling results in fast and economic system development. Traditionally, simulations have been used to evaluate realistic systems but do not yield exact results. Analytic solution methods can yield exact results, but can suffer from the state-space explosion problem. A reduced base model construction technique for stochastic activity networks, which exploits the net structure to generate a considerably reduced state-space for systems with high degree of replication, has been developed. An implementation of this technique shows that it can be successfully used for efficiently evaluating realistic systems, previously considered unsolvable by traditional stochastic Petri net methods.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectEngineering, Electronics and Electrical.en_US
dc.subjectComputer Science.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorSanders, William H.en_US
dc.identifier.proquest1341474en_US
dc.identifier.bibrecord.b26363008en_US
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