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dc.contributor.advisorMukta, Jannatun Noor
dc.contributor.authorFaysal, MD Badsha
dc.contributor.authorAmin, MD Sheikh
dc.contributor.authorTabassum, Bushra
dc.contributor.authorKhan, Tamim Raiyan
dc.date.accessioned2023-10-16T05:03:18Z
dc.date.available2023-10-16T05:03:18Z
dc.date.copyright©2022
dc.date.issued2022-09-20
dc.identifier.otherID 18201136
dc.identifier.otherID 18341004
dc.identifier.otherID 22341076
dc.identifier.otherID 18341003
dc.identifier.urihttp://hdl.handle.net/10361/21836
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 40-42).
dc.description.abstractThe web as we know it is continuously evolving and changing its shape rapidly. And every day the rate of new technologies being introduced is also increasing. Kubernetes is an excellent tool for cloud computing. Kubernetes is still in its early days. Developers are changing their deployment strategy to use Kubernetes. Kubernetes is a powerful tool for horizontal scaling. Cloud providers like GCP, AWS, Azure, and Oracle are offering Kubernetes services. They offer both x86 and ARM plat-forms. But x86 covers most of the market and very few people are currently working on ARM. We want to find out a more efficient and cost-effective implementation of Kubernetes. ARM offers cheap cloud products at a cheaper rate. ARM is energy efficient and ARM is a newer CPU design than traditional x86. We want to compare the Kubernetes performance on x86 vs ARM to study whether moving to ARM is a better option or not.en_US
dc.description.statementofresponsibilityMD Badsha Faysal
dc.description.statementofresponsibilityMD Sheikh Amin
dc.description.statementofresponsibilityBushra Tabassum
dc.description.statementofresponsibilityTamim Raiyan Khan
dc.format.extent53 pages
dc.language.isoenen_US
dc.publisherBrac Universityen_US
dc.rightsBrac University theses 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.subjectCPU architectureen_US
dc.subjectClouden_US
dc.subjectKubernetesen_US
dc.subjectDockeren_US
dc.subjectGCPen_US
dc.subjectAWSen_US
dc.subjectAzureen_US
dc.subjectx86en_US
dc.subjectARMen_US
dc.subjectOracleen_US
dc.subject.lcshOpen source software
dc.subject.lcshApplication program interfaces (Computer software)
dc.titleKubernetes performance analysis on different architecturesen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB.Sc. in Computer Science and Engineering


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