Shrivastava, Poorva (2024) Cost Optimization in Hybrid Cloud Architecture. Masters thesis, Dublin, National College of Ireland.
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Abstract
Workflow scheduling is a vital component of resource optimization in hybrid cloud environments because of its flexibility and affordability. Ant Colony Optimization (ACO) and The Hybrid Cloud Optimized Cost Scheduling Algorithm (HCOC), two well-known methods for hybrid cloud workflow scheduling, are compared in this research. ACO exhibits flexibility and practical utility in healthcare and energy conservation, whereas HCOC is customized for scientific processes and computational applications, prioritizing cost reduction and timely completion. By incorporating AI-driven autoscaling with Q-Learning, both techniques become more flexible in dynamic hybrid cloud environments. The study concludes that the decision between ACO and HCOC is based on the particular workflow needs as well as the importance of cost optimization and deadline compliance. Further research topics include improved integration of AI-driven autoscaling, real-time monitoring, sophisticated cost estimation models, and security considerations. This comparative research provides insightful information that can be used to choose the best method to handle the dynamic issues associated with scheduling workflows in hybrid clouds.
Item Type: | Thesis (Masters) |
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Supervisors: | Name Email Qazmi, Aqeel UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence 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: | 10 Apr 2025 15:19 |
Last Modified: | 10 Apr 2025 15:19 |
URI: | https://norma.ncirl.ie/id/eprint/7413 |
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