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dc.creatorKim, Junwhan
dc.date.accessioned2012-06-07T23:05:46Z
dc.date.available2012-06-07T23:05:46Z
dc.date.created2001
dc.date.issued2001
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-2001-THESIS-K5428
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 (leaves 37-39).en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractA real-time application must satisfy timing requirements meaning that hard deadlines must be enforced. It is largely dependent on the defined resources and workload characteristics. In large-scale distributed real-time systems, the decomposed and the integrated methodologies with variable workloads are introduced. However, these methodologies have some limitations when they are applied to task systems instead of traffic. In this thesis, we propose that the end-to-end delay computed by the decomposed method relies on various arrival workloads and the integrated analysis performs with bursty tasks traversing a subsystem. In addition, we integrate these techniques into ProTex, a toolkit for the end-to-end schedulability analysis of large-scale distributed real-time systems.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.titleDelay analysis of bursty tasks using workload arrival functionsen
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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