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dc.contributor.advisorNoor, Jannatun
dc.contributor.authorEmu, Md. Azizul Haque
dc.contributor.authorMahmood, Miraj
dc.contributor.authorAsif, Mohtasin Mehmod
dc.contributor.authorTanvir, Abdur Rob
dc.contributor.authorJoyeeta, Raunaq Sayiara
dc.date.accessioned2022-10-26T04:48:40Z
dc.date.available2022-10-26T04:48:40Z
dc.date.copyright2022
dc.date.issued2022-01
dc.identifier.otherID: 18101075
dc.identifier.otherID: 18101090
dc.identifier.otherID: 18101096
dc.identifier.otherID: 18101211
dc.identifier.otherID: 18101118
dc.identifier.urihttp://hdl.handle.net/10361/17535
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 49-51).
dc.description.abstractCloud computing is considered as a computer paradigm in order to retrieve data and store from users. It is also essential for efficient operations in a distributed system (a system that communicates and coordinates various components of different machines located in multiple places and appears as a single system to the end user). With the rapid increment of users, it became challenging to maintain the capacity of incoming load and suitable resource allocation. Among existing all other cloud servers OpenStack Swift is one of the most widely used open-source cloud computing and storage management solutions. An object storage service provided by OpenStack Swift that is commonly utilized for cloud-based storage solutions. We have used OpenStack swift as our cloud server and performed the load test using Apache JMeter as our load testing tool and compared the average response time under different test cases such as large file and small file size, having same or different URL and servers with load and without load. The average response time gives a brief idea about the load handling ability of the server. An in-depth comparison between the average response times between the test cases helped us to figure out the best possible case.en_US
dc.description.statementofresponsibilityMd. Azizul Haque Emu
dc.description.statementofresponsibilityMiraj Mahmood
dc.description.statementofresponsibilityMohtasin Mehmod Asif
dc.description.statementofresponsibilityAbdur Rob Tanvir
dc.description.statementofresponsibilityRaunaq Sayiara Joyeeta
dc.format.extent51 Pages
dc.language.isoen_USen_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.subjectLoad Testingen_US
dc.subjectJMeteren_US
dc.subjectOpenStack Swiften_US
dc.subjectCloud Computingen_US
dc.subjectGeographical Locationsen_US
dc.subjectLatencyen_US
dc.subjectAverage Response Timeen_US
dc.subject.lcshCloud computing.
dc.subject.lcshOpen source software.
dc.titleDesigning a new scalable load test system for distributed environmenten_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, Brac University
dc.description.degreeB. Computer Science and Engineering


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