Evaluation of GWO -PSO Algorithm using AWS Lambda

Jojo, Ann Mariya (2024) Evaluation of GWO -PSO Algorithm using AWS Lambda. Masters thesis, Dublin, National College of Ireland.

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Abstract

The novel approach to load balancing in Cloud Environment with the help of integrating the AWS services with optimized hybrid GWO-PSO algorithm. The main objective of the approach is to attain a efficient and scalable traffic managing system with the help of Grey Wolf Optimization (GWO) and Particle Swarm Optimization (PSO) algorithm. The hybrid algorithm is implemented on AWS Lambda. Lambda is known for it’s serverless architecture and scaling capability. For dynamic traffic distribution the Application load balancer is used and EC2 instances acts as the backend server.. The main advantages are resource utilization through efficient workload distribution across the instances. The success criteria considered for this approach are based on CPU utilization, minimal error rates and optimal response time. Comparison is performed between the traditional VM based approach and the hybrid GWO-PSO algorithm on AWS Lambda to analyze the valuable insights for the system performance .The approach guarantees the robust fault tolerance.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Arun, Shreyas Setlur 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 Q Science > QA Mathematics > Algebra > Algorithms > Computer algorithms
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Ciara O'Brien
Date Deposited:	15 Jul 2025 11:53
Last Modified:	15 Jul 2025 11:53
URI:	https://norma.ncirl.ie/id/eprint/8108

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