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Hybrid Mobile Cloud Computing Architecture with Load Balancing for Healthcare Systems

Ahyoung Lee1, Jui Mhatre1, Rupak Kumar Das2, Min Hong3,*

1 Department of Computer Science, Kennesaw State University, Marietta, GA, USA
2 Department of Computer Science, University of Minnesota Duluth, Duluth, MN, USA
3 Department of Computer Software Engineering, Soonchunhyang University, Asan, Korea

* Corresponding Author: Min Hong. Email: email

Computers, Materials & Continua 2023, 74(1), 435-452. https://doi.org/10.32604/cmc.2023.029340

Abstract

Healthcare is a fundamental part of every individual’s life. The healthcare industry is developing very rapidly with the help of advanced technologies. Many researchers are trying to build cloud-based healthcare applications that can be accessed by healthcare professionals from their premises, as well as by patients from their mobile devices through communication interfaces. These systems promote reliable and remote interactions between patients and healthcare professionals. However, there are several limitations to these innovative cloud computing-based systems, namely network availability, latency, battery life and resource availability. We propose a hybrid mobile cloud computing (HMCC) architecture to address these challenges. Furthermore, we also evaluate the performance of heuristic and dynamic machine learning based task scheduling and load balancing algorithms on our proposed architecture. We compare them, to identify the strengths and weaknesses of each algorithm; and provide their comparative results, to show latency and energy consumption performance. Challenging issues for cloud-based healthcare systems are discussed in detail.

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Cite This Article

APA Style
Lee, A., Mhatre, J., Das, R.K., Hong, M. (2023). Hybrid mobile cloud computing architecture with load balancing for healthcare systems. Computers, Materials & Continua, 74(1), 435-452. https://doi.org/10.32604/cmc.2023.029340
Vancouver Style
Lee A, Mhatre J, Das RK, Hong M. Hybrid mobile cloud computing architecture with load balancing for healthcare systems. Comput Mater Contin. 2023;74(1):435-452 https://doi.org/10.32604/cmc.2023.029340
IEEE Style
A. Lee, J. Mhatre, R.K. Das, and M. Hong "Hybrid Mobile Cloud Computing Architecture with Load Balancing for Healthcare Systems," Comput. Mater. Contin., vol. 74, no. 1, pp. 435-452. 2023. https://doi.org/10.32604/cmc.2023.029340



cc Copyright © 2023 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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