Reinforcement learning based autonomic virtual machine management in clouds
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.
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| التنسيق: | أطروحة |
| اللغة: | English |
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BRAC University
2016
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/10361/5311 |
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10361-5311 |
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10361-53112022-01-26T10:21:41Z Reinforcement learning based autonomic virtual machine management in clouds Habib, Md. Arafat Khan, Md. Muhidul Islam Department of Computer Science and Engineering, BRAC University CSE Computer science and engineering Virtual machine management This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. Cataloged from PDF version of thesis report. Includes bibliographical references (page 43-44). Cloud computing is a rapidly emerging field, services and applications are more or less 24/7. Resource dimensioning in this field is a great issue. Research is already going on to imply reinforcement learning to automate decision making process in case of addition, reduction, migration and maintenance of the Virtual Machines (VM) to balance the service level performance and VM management cost. Models have been proposed in this case based on Q learning, a very popular reinforcement learning technique that is used to find optimal action selection policy for any finite Markov Decision Process (MDP).In this thesis, we propose to work with the challenges like proper initialization of the early stages, designing the states, actions, transitions using Markov Decision Process (MDP) and solving the MDP with two popular reinforcement learning techniques, Q learning and SARSA (λ). Md. Arafat Habib B. Computer Science and Engineering 2016-05-22T15:37:20Z 2016-05-22T15:37:20Z 2016 2016-04 Thesis ID 12101056 http://hdl.handle.net/10361/5311 en BRAC 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. 44 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
CSE Computer science and engineering Virtual machine management |
| spellingShingle |
CSE Computer science and engineering Virtual machine management Habib, Md. Arafat Reinforcement learning based autonomic virtual machine management in clouds |
| description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. |
| author2 |
Khan, Md. Muhidul Islam |
| author_facet |
Khan, Md. Muhidul Islam Habib, Md. Arafat |
| format |
Thesis |
| author |
Habib, Md. Arafat |
| author_sort |
Habib, Md. Arafat |
| title |
Reinforcement learning based autonomic virtual machine management in clouds |
| title_short |
Reinforcement learning based autonomic virtual machine management in clouds |
| title_full |
Reinforcement learning based autonomic virtual machine management in clouds |
| title_fullStr |
Reinforcement learning based autonomic virtual machine management in clouds |
| title_full_unstemmed |
Reinforcement learning based autonomic virtual machine management in clouds |
| title_sort |
reinforcement learning based autonomic virtual machine management in clouds |
| publisher |
BRAC University |
| publishDate |
2016 |
| url |
http://hdl.handle.net/10361/5311 |
| work_keys_str_mv |
AT habibmdarafat reinforcementlearningbasedautonomicvirtualmachinemanagementinclouds |
| _version_ |
1814309328851566592 |