Sanagari, Sai Varshitha (2024) Design and Implementation of a Hybrid Cloud-Edge Computing Architecture for Real-Time IoT Data Processing with Blockchain Integration. Masters thesis, Dublin, National College of Ireland.
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Abstract
In this paper, we introduce a hybrid cloud-edge computing architecture to handle Internet of Things data at an efficient pace, integrating edge computing for low latency real time processing and cloud computing for resource intensive jobs. This integration of blockchain technology enables to maintain a verifiable record of sensitive IoT data and a data integrity, and with security. Weighted Round Robin (WRR) is utilized as a dynamic task scheduling algorithm to optimize utilization of resources, and tasks distribution according to computational load and latency. Access control is provided by AWS Identity and Access Management (IAM), security measures consist of end-to-end encryption, data at rest encryption (AES 256) and in transit using Transport Layer Security (TLS). Finally, we validate the architecture using AWS services like S3, Lambda, RDS, and Athena which shows the ability of our architecture to handle ingesting, processing, and querying massive IoT data incurring low latency. The experiment demonstrates that the system is scalable; real time processing; and has robustly secure security features.
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