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dc.creatorGummadi, Vidyaen_US
dc.date.accessioned2012-06-07T22:40:41Z
dc.date.available2012-06-07T22:40:41Z
dc.date.created1995en_US
dc.date.issued1995
dc.identifier.urihttp://hdl.handle.net/1969.1/ETD-TAMU-1995-THESIS-G86en_US
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_US
dc.descriptionIncludes bibliographical references.en_US
dc.descriptionIssued also on microfiche from Lange Micrographics.en_US
dc.description.abstractThe motivation for this research has been its applicability in sequence checking in a spacecraft's control commands. Spacecrafts are controlled by sequences of time-tagged control commands which are essentially onboard computer programs. 'The sequence of control commands needs to be verified for correct execution before the commands are executed on the spacecraft to avoid the catastrophic effects of incorrect execution. The sequence checking employed (presently) is inherently sequential. The main objective of this work is to replace this existing sequential algorithm with a parallel implementation to gain performance. Parallel (distributed) discrete event simulation (PDES) refers to the execution of a single discrete event simulation program on a parallel computer. PDES mechanisms broadly fall into two categories : conservative mechanisms, like the Chandy-Misra approach and optimistic mechanisms, like the Time Warp mechanism. Conservative approaches strictly avoid the possibility of a causality error occurring whereas optimistic approaches use a detection and recovery approach wherein causality errors are detected and a rollback mechanism is invoked to recover. We present a technique for PDES that is based upon prediction techniques which performs very well for deterministic systems.en_US
dc.format.mediumelectronicen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.publisherTexas A&M Universityen_US
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_US
dc.subjectcomputer science.en_US
dc.subjectMajor computer science.en_US
dc.titleParallel discrete event simulation with predictorsen_US
dc.typeThesisen_US
thesis.degree.disciplinecomputer scienceen_US
thesis.degree.nameM.S.en_US
thesis.degree.levelMastersen_US
dc.type.genrethesis
dc.type.materialtexten_US
dc.format.digitalOriginreformatted digitalen_US


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