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dc.creatorWilkinson, Robert Todd
dc.date.accessioned2012-06-07T22:47:27Z
dc.date.available2012-06-07T22:47:27Z
dc.date.created1996
dc.date.issued1996
dc.identifier.urihttp://hdl.handle.net/1969.1/ETD-TAMU-1996-THESIS-W65
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en
dc.descriptionIncludes bibliographical references: p. 76-78.en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractPerformance analysis is a widely accepted technique used by many computer system designers. It can predict actual system performance, while helping to identify problems in the design or areas for improvement. Furthermore, if the simulation model is powerful, variants of the original system can be examined without going to the trouble and expense of building an actual system. The main objective of this research is to develop and present a framework for performance modeling of computing systems and networks. The framework will be applied to the study of a class of networks developed by Tandem Computers, Inc. This class of networks is scalable, fault-tolerant, and can achieve parallel computing via message passing.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subjectcomputer science.en
dc.subjectMajor computer science.en
dc.titlePerformance evaluation of scalable parallel computing networksen
dc.typeThesisen
thesis.degree.disciplinecomputer scienceen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


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