Abstract Volume:10 Issue-11 Year-2022 Original Research Articles
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Online ISSN : 2347 - 3215 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcret@gmail.com |
The use of cloud computing for healthcare IoT is a new way of configuring data processing and management, facilitating real-time processing and data-driven decision-making. Data privacy, energy consumption, and computational efficiency are obstacles that will not fade anytime soon. This paper takes a holistic approach that integrates cloud computing for scalable data storage, energy-centered models for optimizing energy use, and advanced data processing approaches, (including Random Forest for feature selection, and Principal Component Analysis (PCA) for the extractive of features). The expectation is to provide a generational advancement in analyzing data related to healthcare, by creating energy sustainability, data security through cloud infrastructure, while using the cloud for advanced processing capabilities. The experimental results of the investigation show promising properties of improvement in reductions in energy consumption, storage gains, and overall system performance.

How to cite this article:
Sai Sathish Kethu, Durai Rajesh Natarajan, Sreekar Peddi and Hemnath, R. 2022. Cloud Computing-Based Data Processing and Energy Management Modeling in IoT Healthcare Systems.Int.J.Curr.Res.Aca.Rev. 10(11): 71-82doi: https://doi.org/10.20546/ijcrar.2022.1011.008



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