Nambiar, Muralikrishnan Vijayan (2023) Evaluating Distance Based Pareto Genetic Algorithm for Task-Offloading in Edge-Fog-Cloud Systems. Masters thesis, Dublin, National College of Ireland.
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Abstract
In the ever-changing world of the Internet of Things (IoT), effectively handling resource-constrained Edge-Fog-Cloud (EFC) systems is critical. This research investigates the use of the Distance-Based Pareto Genetic Algorithm (DBPGA) for task-offloading in such situations, tackling a difficult NP-complete problem that has largely remained unaddressed in existing literature. The significance of this study comes in its investigation of a novel technique to improve task-offloading efficiency, a vital feature in the performance of IoT systems. The research results show that the DBPGA outperforms the traditional Genetic Algorithm (GA) in optimising task offloading in smaller datasets across many workflows. The discovery is essential because it presents an effective technique for controlling IoT applications in fog computing, which is particularly valuable in enhancing task-offloading efficiency. However, the research reveals challenges with processing larger datasets, indicating the critical need for further improvements in the DBPGA’s scalability and adaptability. This research not only contributes to the field by addressing a previously unexplored area, but it also establishes a new avenue for future research to improve computing efficiency in varied EFC systems, an important issue in the IoT domain.
Item Type: | Thesis (Masters) |
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Supervisors: | Name Email Sahni, Vikas 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 |
Divisions: | School of Computing > Master of Science in Cloud Computing |
Depositing User: | Ciara O'Brien |
Date Deposited: | 09 Apr 2025 11:47 |
Last Modified: | 09 Apr 2025 11:47 |
URI: | https://norma.ncirl.ie/id/eprint/7394 |
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