Efficient Resource Management using Ant Lion Optimisation Algorithm

Sulke, Aditi Dilip (2023) Efficient Resource Management using Ant Lion Optimisation Algorithm. Masters thesis, Dublin, National College of Ireland.

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Abstract

This study investigates an in-depth comparison of meta-heuristic algorithms, Ant Lion Optimizer (ALO) and Ant Colony Optimisation (ACO) in the context of Execution time and VM allocation in Cloud Computing. It determines which algorithm produces superior results by focusing on execution time efficiency and differences in VM allocation. The research begins with a thorough examination of both algorithms, emphasizing their underlying principles and applications in the context of resource allocation, followed by a comparative analysis of the performance efficacy of these algorithms. The effects of these algorithms concerning task execution time which is one of the critical metrics in cloud computing is evaluated and its comparison sheds light on how both of these algorithms affect resource utilisation. This study offers useful insights for practitioners looking for optimal VM allocation strategies, emphasizing ALO’s advantages over ACO in terms of execution time and adaptability. By the end of this study, ALO emerges to have less execution time and maximum resource utilization can be visualized. To improve overall system performance, the primary focus is on optimizing Virtual Machine (VM) allocation and minimizing execution time. As the research concludes, ALO emerges as an optimal solution with shorter execution times and better resource utilization, implying its potential for improving overall system performance.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Gupta, Punit 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:	11 Apr 2025 10:06
Last Modified:	11 Apr 2025 10:06
URI:	https://norma.ncirl.ie/id/eprint/7418

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