Kubernetes performance analysis on different architectures
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
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Brac University
2023
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10361-218362023-10-16T21:04:26Z Kubernetes performance analysis on different architectures Faysal, MD Badsha Amin, MD Sheikh Tabassum, Bushra Khan, Tamim Raiyan Mukta, Jannatun Noor Department of Computer Science and Engineering, BRAC University CPU architecture Cloud Kubernetes Docker GCP AWS Azure x86 ARM Oracle Open source software Application program interfaces (Computer software) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 40-42). The 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. MD Badsha Faysal MD Sheikh Amin Bushra Tabassum Tamim Raiyan Khan B.Sc. in Computer Science and Engineering 2023-10-16T05:03:18Z 2023-10-16T05:03:18Z ©2022 2022-09-20 Thesis ID 18201136 ID 18341004 ID 22341076 ID 18341003 http://hdl.handle.net/10361/21836 en Brac 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. 53 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
CPU architecture Cloud Kubernetes Docker GCP AWS Azure x86 ARM Oracle Open source software Application program interfaces (Computer software) |
| spellingShingle |
CPU architecture Cloud Kubernetes Docker GCP AWS Azure x86 ARM Oracle Open source software Application program interfaces (Computer software) Faysal, MD Badsha Amin, MD Sheikh Tabassum, Bushra Khan, Tamim Raiyan Kubernetes performance analysis on different architectures |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. |
| author2 |
Mukta, Jannatun Noor |
| author_facet |
Mukta, Jannatun Noor Faysal, MD Badsha Amin, MD Sheikh Tabassum, Bushra Khan, Tamim Raiyan |
| format |
Thesis |
| author |
Faysal, MD Badsha Amin, MD Sheikh Tabassum, Bushra Khan, Tamim Raiyan |
| author_sort |
Faysal, MD Badsha |
| title |
Kubernetes performance analysis on different architectures |
| title_short |
Kubernetes performance analysis on different architectures |
| title_full |
Kubernetes performance analysis on different architectures |
| title_fullStr |
Kubernetes performance analysis on different architectures |
| title_full_unstemmed |
Kubernetes performance analysis on different architectures |
| title_sort |
kubernetes performance analysis on different architectures |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/21836 |
| work_keys_str_mv |
AT faysalmdbadsha kubernetesperformanceanalysisondifferentarchitectures AT aminmdsheikh kubernetesperformanceanalysisondifferentarchitectures AT tabassumbushra kubernetesperformanceanalysisondifferentarchitectures AT khantamimraiyan kubernetesperformanceanalysisondifferentarchitectures |
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1814307439090073600 |