Dynamic Resource Management in Healthcare: A Case Study of Kubernetes-Based Platform Scaling
DOI:
https://doi.org/10.32628/CSEIT251112111Keywords:
Healthcare Infrastructure, Kubernetes Orchestration, Dynamic Scaling, HIPAA Compliance, Resource OptimizationAbstract
This article presents a comprehensive analysis of a large-scale Kubernetes-based healthcare platform implementation, demonstrating the transformative potential of cloud-native architecture in healthcare operations. The article examines the design, implementation, and operational outcomes of a dynamically scalable infrastructure serving millions of patients while maintaining strict regulatory compliance. Through detailed analysis of the platform's architecture, monitoring systems, and resource management mechanisms, this article provides insights into achieving operational excellence in healthcare IT infrastructure. The article reveals significant improvements in resource utilization efficiency, operational cost reduction, and system reliability through intelligent container orchestration. The implementation successfully addresses common healthcare infrastructure challenges while establishing a framework for maintaining HIPAA compliance in a cloud-native environment. This case study contributes to the growing body of knowledge on healthcare IT modernization and provides valuable insights for organizations seeking to implement similar solutions. The results demonstrate the viability and effectiveness of container orchestration technologies in healthcare settings, offering a blueprint for future implementations while highlighting key considerations for maintaining regulatory compliance and operational efficiency.
Downloads
References
Shiva Kumar Chinnam (2024). "Enhancing Patient Care Through Kubernetes-Powered Healthcare Data Management," IJRASET Journal for Research in Applied Science and Engineering Technology. DOI: 10.22214/ijraset.2024.63954 Link: https://www.ijraset.com/research-paper/enhancing-patient-care-through-kubernetes-powered-healthcare-data-management DOI: https://doi.org/10.22214/ijraset.2024.63954
Khan, K. M., & Bai, Y. (2013). "Automatic verification of health regulatory compliance in cloud computing," Proceedings of IEEE 15th International Conference on e-Health, Networking, Application and Services (Healthcom 2013), Lisbon, Portugal, pp. 719-721. DOI: 10.1109/HealthCom.2013.6720770 Link: https://ieeexplore.ieee.org/abstract/document/6720770 DOI: https://doi.org/10.1109/HealthCom.2013.6720770
Alahmar, A., & Benlamri, R. (2020). "Optimizing Hospital Resources using Big Data Analytics with Standardized e-Clinical Pathways," 2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), pp. 1-12. DOI: 10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00112 Link: https://ieeexplore.ieee.org/abstract/document/9251228 DOI: https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00112
Todorov, M. H. (2021). "Design and Deployment of Kubernetes Cluster on Raspberry Pi OS," IEEE 29th National Conference with International Participation (TELECOM). DOI: 10.1109/TELECOM52414.2021.9659651 Link: https://ieeexplore.ieee.org/document/9659651/citations#citations DOI: https://doi.org/10.1109/TELECOM53156.2021.9659651
Yuan, H., & Liao, S. (2024). "A Time Series-Based Approach to Elastic Kubernetes Scaling," Electronics, 13(2), 285. DOI: 10.3390/electronics13020285 Link: https://www.mdpi.com/2079-9292/13/2/285 DOI: https://doi.org/10.3390/electronics13020285
Sadath, L., Mehrotra, D., & Kumar, A. (2024). "Scalability Performance Analysis of Blockchain Using Hierarchical Model in Healthcare." Blockchain in Healthcare Today, 7(1), 295. DOI: 10.30953/bhty.v7.295 Link: https://blockchainhealthcaretoday.com/index.php/journal/article/view/295 DOI: https://doi.org/10.30953/bhty.v7.295
Imran, S., Mahmood, T., Morshed, A., & Sellis, T. (2021). "Big Data Analytics in Healthcare — A Systematic Literature Review and Roadmap for Practical Implementation." IEEE/CAA Journal of Automatica Sinica, 8(1), 1-22. DOI: 10.1109/JAS.2020.1003384 Link: https://www.ieee-jas.net/en/article/doi/10.1109/JAS.2020.1003384 DOI: https://doi.org/10.1109/JAS.2020.1003384
Wen, Z., Chen, Q., Deng, Q., Niu, Y., Song, Z., & Liu, F. (2024). "ComboFunc: Joint Resource Combination and Container Placement for Serverless Function Scaling with Heterogeneous Containers." IEEE Transactions on Parallel and Distributed Systems, 35(3), 123-135. DOI: 10.1109/TPDS.2024.1234567 Link: https://fangmingliu.github.io/files/ComboFunc-tpds24.pdf DOI: https://doi.org/10.1109/TPDS.2024.3454071
Teixeira, J., & National Grid. (2019). "IEEE 1366- Reliability Indices." IEEE Boston Section. Link: https://site.ieee.org/boston-pes/files/2019/03/IEEE-1366-Reliability-Indices-2-2019.pdf
Cati, M. M. (2024). "Enhancing Hospital Performance: The Comprehensive Efficiency Index Approach," Biomed J, vol. 55, no. 4, pp. 1-10. Link: https://biomedres.us/pdfs/BJSTR.MS.ID.008735.pdf DOI: https://doi.org/10.26717/BJSTR.2024.55.008735
AlSultan, M. A., AlMutairi, A. A., Al Jaber, A. A., AlKuwaykibi, T. J., Bin Taleb, D. O., & Al Shammari, S. K. (2021). "Integrated Framework for Operational Efficiency Development: Analytical Study of Emerging Technologies Impact on Healthcare Quality," Journal for Educators, Teachers and Trainers, vol. 12, no. 1, pp. 255-259. Link: Integrated Framework for Operational Efficiency Development: Analytical Study of Emerging Technologies Impact on Healthcare Quality | Journal for Educators, Teachers and Trainers
E. Kempe, "Documenting Regulatory Requirements Decision-Making as a Compliance Concern," in Proceedings of the IEEE 30th International Requirements Engineering Conference (RE), 2022, pp. 45-52. DOI: 10.1109/RE52129.2022.00-12 Link: https://ieeexplore.ieee.org/document/9920040 DOI: https://doi.org/10.1109/RE54965.2022.00026
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Scientific Research in Computer Science, Engineering and Information Technology
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.