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Optimization of Load Balancing in Fog Computing using Bacterial Colony Optimization algorithm

Vaibhav, Shalini (2023) Optimization of Load Balancing in Fog Computing using Bacterial Colony Optimization algorithm. Masters thesis, Dublin, National College of Ireland.

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Abstract

Fog computing is one of the most important paradigm shifts, transforming data processing through enhanced efficiency and adaptability, achieved by extending computational capabilities to the edge of the network. Load balancing, which includes distributing the computational demand over a number of fog nodes to improve resource utilisation and system effectiveness, is one of the most important issues in fog computing. This research aims to tackle load balancing in fog computing by using the Bacterial Colony Optimisation (BCO) technique. The goal of this project is to implement an effective, and flexible load balancing method specifically designed for fog computing settings. Simulated tests were used to validate the suggested approach and performance metrics were obtained. BCO outperforms RoundRobin (RR) algorithm and Throttle Load Balancing (TLB) algorithm, with average improvements of roughly 56.85% in latency, 51.83% in makespan, and 33.77% in cost across various node configurations.BCO demonstrates superior performance compared to RR and TLB algorithms, it achieves an improvement in the latency of approximately 56.85%, 51.83% in makespan, and 33.77% in cost across diverse node configurations.

Item Type: Thesis (Masters)
Supervisors:
Name
Email
Samarawickrama, Yasantha
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: Tamara Malone
Date Deposited: 21 Oct 2024 12:19
Last Modified: 21 Oct 2024 12:19
URI: https://norma.ncirl.ie/id/eprint/7108

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