Singh, Keshav Nandkishor (2024) Enhancing Virtual Machine Migration through the utilization of Reinforcement Learning and Apache Kafka Messaging Services. Masters thesis, Dublin, National College of Ireland.
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Abstract
This research introduces an innovative approach to perform VM migration with the use of Reinforcement Learning (RL) and Apache Kafka Messaging Services. The system employs an RL agent for migration decision making, and offers opportunities to monitor actual usage data like the CPU, memory and network usage. This metrics can be streamed to the Apache Kafka in low latency high through put ensuring rich data transmission. Rewards are given to the RL agent for migration actions depending on the efficiency of the performed actions. Experiment findings prove that the utilization of RL-based systems contributes to the enhancement of the general effectiveness of decision- making procedures, the increase of the efficiency of the systems as a whole as well as the effective utilization of resources in comparison with other approaches. The architecture of Kafka is distributed and this characteristic enables it to work at scalable modes and manage increasing data volumes without any loss of performance. The adaptability of RL agent allows continuous learning and optimization of migration strategies thus providing a dynamic and efficient solution for modern data centers. This research demonstrates the potential of combining machine learning with real time data streaming to improve VM migration process offering more responsive cloud infrastructure management.
Item Type: | Thesis (Masters) |
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Supervisors: | Name Email Emani, Sai UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing |
Divisions: | School of Computing > Master of Science in Cloud Computing |
Depositing User: | Ciara O'Brien |
Date Deposited: | 04 Jul 2025 11:14 |
Last Modified: | 04 Jul 2025 11:14 |
URI: | https://norma.ncirl.ie/id/eprint/8058 |
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