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An enhanced approach to QoS-aware resource provisioning and job scheduling in cloud computing

bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorKaonain, Md. Shamsul
dc.contributor.advisorAdhikary, Tamal
dc.contributor.authorKhan, Md. Modabbir Rahman
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2017-05-08T08:51:13Z
dc.date.available2017-05-08T08:51:13Z
dc.date.copyright2017
dc.date.issued2017-04
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 32-35).
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.en_US
dc.description.abstractCloud computing is an emerging technology provided over the internet in which resource provisioning (RP) and job scheduling (JS) are two of them ost important issues.The goal of RS and JS is to accomplish better QoS with highest possible use of assets in one cloud domain. To achieve better QoS in SLA, an enhanced algorithm has been proposed here which considers all parameters of a certain job and maximize the resource utilization with proper scheduling of the jobs given.en_US
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilityMd. Modabbir Rahman Khan
dc.format.extent37 pages
dc.identifier.otherID 12101132
dc.identifier.urihttp://hdl.handle.net/10361/8106
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectQoSen_US
dc.subjectCloud computingen_US
dc.titleAn enhanced approach to QoS-aware resource provisioning and job scheduling in cloud computingen_US
dc.typeThesisen_US

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