Noor, JannatunEmu, Md. Azizul HaqueMahmood, MirajAsif, Mohtasin MehmodTanvir, Abdur RobJoyeeta, Raunaq Sayiara2022-10-262022-10-2620222022-01ID: 18101075ID: 18101090ID: 18101096ID: 18101211ID: 18101118http://hdl.handle.net/10361/17535Cataloged from PDF version of thesis.Includes bibliographical references (pages 49-51).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.Cloud 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.51 Pagesen-USBrac 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.Load TestingJMeterOpenStack SwiftCloud ComputingGeographical LocationsLatencyAverage Response TimeCloud computing.Open source software.Designing a new scalable load test system for distributed environmentThesis