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DOI: 10.14569/IJACSA.2024.0150820
PDF

Performance Analysis of a Hyperledger-Based Medical Record Data Management Using Amazon Web Services

Author 1: Mohammed K Elghoul
Author 2: Sayed F. Bahgat
Author 3: Ashraf S. Hussein
Author 4: Safwat H. Hamad

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 8, 2024.

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Abstract: Recently, there's been growing excitement around the innovative capabilities of blockchain technology, especially for enhancing security, privacy, and transparency. Its application in various sectors, like finance and logistics, is intriguing, but its potential in healthcare stands out. Specifically, in the realm of medical data management, blockchain can transform how we protect patient data. Our study unveils a cutting-edge approach to handle digital health records by harnessing the power of Amazon Web Services (AWS). This pioneering, serverless model is not only cost-effective, with charges only for used resources, but also offers heightened security and for blockchain network access. We build a private, permissioned blockchain network with Hyperledger Fabric to control access while ensuring transparency. The paper demonstrates the prowess of this new system is validated through rigorous tests on speed, network prowess, and multi-user handling, complete with a detailed cost analysis for implementation. The paper further demonstrates the use of the Gatling open-source library to design various experiments for performance measurement.

Keywords: Hyperledger; blockchain; healthcare; data management

Mohammed K Elghoul, Sayed F. Bahgat, Ashraf S. Hussein and Safwat H. Hamad, “Performance Analysis of a Hyperledger-Based Medical Record Data Management Using Amazon Web Services” International Journal of Advanced Computer Science and Applications(IJACSA), 15(8), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150820

@article{Elghoul2024,
title = {Performance Analysis of a Hyperledger-Based Medical Record Data Management Using Amazon Web Services},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150820},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150820},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {8},
author = {Mohammed K Elghoul and Sayed F. Bahgat and Ashraf S. Hussein and Safwat H. Hamad}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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