A Triple-Tap Hybrid Load Balancing System (TTHLB) for Health Monitoring System
Sudhir Ponnapalli, Raghunadha Reddi Dornala, S Parvathi Vallabaneni
Abstract
With the rapid development in innovation and a rising need for efficient healthcare services, innovative approaches to healthcare system design are required. In recent years, integrating cloud computing, edge computing, and fog computing has emerged as a promising solution to enhance the efficiency and effectiveness of healthcare systems. The paper proposes a triple-tap hybrid load balancing method (TTHLB) that leverages the capabilities of cloud computing, edge computing, and fog computing to provide seamless and efficient healthcare services. The TTHLB architecture comprises three layers: the cloud layer, the edge layer, and the fog layer. The cloud layer is the central repository for storing and processing large volumes of healthcare data. It provides on-demand access to computational resources and supports advanced data analytics techniques for decision-making and predictive analysis. The edge layer, consisting of edge devices such as wearable’s and sensors, collects real-time patient data and performs initial data processing. It enables real-time monitoring, early detection of health issues, and timely intervention. Between the cloud and edge layers, the fog layer acts as an intermediate data processing and storage layer. It reduces latency and bandwidth requirements by performing data processing closer to the edge devices. The TTHLB leverages the benefits of cloud computing, such as scalability, flexibility, and cost-effectiveness, by offloading resource-intensive tasks to the cloud layer. It also utilizes the capabilities of edge and fog computing to provide low-latency, real-time data processing and analysis, ensuring timely and personalized healthcare services. Integrating these computing paradigms enables seamless data exchange and collaboration among healthcare providers, patients, and other stakeholders, improving diagnosis, treatment, and patient outcomes. Finally, the TTHLB presented in this research work provides a comprehensive solution to traditional healthcare systems' challenges. It uses cloud, edge, and fog computing to deliver efficient, personalized, and timely healthcare services. The TTHLB can transform the healthcare industry and improve overall patient care quality.