A Comparative Analysis of Metaheuristic Algorithms for Optimizing Tasks in Serverless Frameworks for MapReduce Applications

Waghmare, Vaishnavi Sarjearo (2024) A Comparative Analysis of Metaheuristic Algorithms for Optimizing Tasks in Serverless Frameworks for MapReduce Applications. Masters thesis, Dublin, National College of Ireland.

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Abstract

In this research, we have proposed a task optimization process for enhancing the performance of MapReduce applications within a serverless framework. The investigation is a comparison of the artificial bee colony algorithm and the Cuckoo Search algorithm in terms of job execution time, CPU resource utilization, and scalability. This analysis utilized the Terasort Hadoop Benchmarking dataset on an AWS EMR instance. The study found that Cuckoo Search Optimization had superior performance compared to ABC in terms of task completion time and CPU Utilization. And when comparing scalability, ABC outperforms Cuckoo Search Optimization Algorithm. These findings demonstrate the effectiveness of the Cuckoo Search Optimization algorithm in reducing task execution times, improving resource utilization, and enhancing adaptability within serverless MapReduce applications. Thus, the paper’s novelty illuminates on the potential of nature-inspired algorithms to overcome intrinsic challenges and enhance the efficiency of MapReduce applications. It provides useful insights for the emerging field of Serverless computing.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Jaswal, Shivani 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 13:12
Last Modified:	11 Apr 2025 13:12
URI:	https://norma.ncirl.ie/id/eprint/7422

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