Parde, Rihand (2024) SMARTDART - A cloud-based architecture of the DART tsunami warning system. Masters thesis, Dublin, National College of Ireland.
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Abstract
The DART tsunami warning system has been in operation for over 20 years with limited research done to improve it. It still operates on two decade old technology, which leaves a research gap to improve its functionalities using modern technologies. SMARTDART is a novel approach towards enhancing the capabilities of the DART tsunami warning system using cloud technology and fog and edge computing. This paper describes the working of the current system, highlights its limitations based on a detailed literature review of previous work, and proposes an AWS-based solution. A simulation project was developed in iFogSim consisting of two models - DART and SMARTDART. DART simulated the current system as it originally functions while SMARTDART simulated the proposed AWS-based solution. Results showed that the SMARTDART model outperformed the DART model in terms of reduced latency and increased throughput. When practically implemented, this project is expected to reduce the latency of the current DART system, make it more fault tolerant, increase its scalability, and reduce the production and operational costs in the long term.
Item Type: | Thesis (Masters) |
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Supervisors: | Name Email Emani, Sai UNSPECIFIED |
Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences 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: | 16 Jul 2025 09:57 |
Last Modified: | 16 Jul 2025 09:57 |
URI: | https://norma.ncirl.ie/id/eprint/8135 |
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