Shedge, Devashree Prashant (2024) Optimizing Particle Swarm Optimization Algorithm on Serverless Computing for Cost-Efficiency and Performance. Masters thesis, Dublin, National College of Ireland.
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Abstract
Serverless computing has enables the rise of the application deployment with cost efficiency and scalability and no overhead in managing infrastructure. But current challenges lies in optimization of resource utilization especially among dynamic workloads. To solve the problems and enhance serverless performance, optimizing it with Particle Swarm Optimization. A novel approach to dynamic optimal resources threshold optimization in introduced through the combinations of PSO to overcome any limitations to traditional optimization techniques. This research deals with train the model, increased resource statistics and strategies of pre-warming. By comparing it with Grid search (Without PSO), PSO is shown to be adaptable to real time optimization tasks. This work represents a valuable insights on the deployment of advanced optimization techniques in serverless architectures. These findings fills the gaps and presents a scalable, cost effective framework for applications across industries like finance, healthcare, e-commerce and logistics.
Item Type: | Thesis (Masters) |
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Supervisors: | Name Email Deshmukh, Sudarshan UNSPECIFIED |
Uncontrolled Keywords: | Particle Swarm Optimization (PSO); Serverless Computing; Cost-Efficiency; Performance enhancement; Resource allocation |
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 Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning |
Divisions: | School of Computing > Master of Science in Cloud Computing |
Depositing User: | Ciara O'Brien |
Date Deposited: | 16 Jul 2025 13:34 |
Last Modified: | 16 Jul 2025 13:34 |
URI: | https://norma.ncirl.ie/id/eprint/8153 |
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