Optimizing IoT Secure Data Processing and Using Azure Edge Computing Solutions

Burolla, Raju (2024) Optimizing IoT Secure Data Processing and Using Azure Edge Computing Solutions. Masters thesis, Dublin, National College of Ireland.

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Abstract

This research investigates an Azure IoT Edge-enabled solution that could collect telemetry data, store, and analyze it in real-time. The study focuses on designing an integrated architecture with the integration of Azure IoT Hub, Logic Apps, and Azure Monitor for seamless processing of data to address emerging demands for effective IoT pipelines. IoT Edge devices were provisioned, and the modules configured to start ingesting and processing data. The implementation entails a variety of workflows relating to the analytics of telemetry. Evaluations emphasize key metrics, such as message latency, data throughput, and system reliability to ensure there is a functional IoT pipeline where measurable improvements could be identified in data handling despite issues in connectivity and module configuration at the beginning. These results confirm the scalability and reliability of the proposed solution but also point out certain areas for further improvement, such as enhanced configuration automation. The work done here provides a good base for future projects that might deal with advanced analytics or scaling up multi-cloud support and boasts considerable academic and commercial potential.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Prior, Michael UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > Computer networks > Internet of things
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Ciara O'Brien
Date Deposited:	18 Jul 2025 10:21
Last Modified:	18 Jul 2025 10:21
URI:	https://norma.ncirl.ie/id/eprint/8194

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