Hybrid Mobile Cloud Computing Architecture with Load Balancing for Healthcare Systems

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 commu-nication interfaces. These systems promote reliable and remote interactions between patients and healthcare professionals. However, there are several lim-itations 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.

Automated summary

Healthcare is an essential part of life, and the advancement of technology is driving the rapid development of the healthcare industry. Cloud-based healthcare systems have the potential to provide reliable and remote interactions between patients and healthcare professionals, but they face challenges such as network availability, latency, battery life, and resource availability. To address these challenges, a hybrid mobile cloud computing architecture is proposed, and the performance of heuristic and dynamic machine learning algorithms for task scheduling and load balancing are evaluated and compared.