Nature-Inspired Load Balancing Approach in Cloud Computing Environment for Smart Healthcare
Navneet Kumar Rajpoot, Prabhdeep Singh, Bhaskar Pant · 2022
The development of a fast-response, a smart healthcare system that makes use of fog computing and the internet of things is of paramount importance at present time. Managing the ever-increasing load on fog nodes can be especially challenging in dynamic and diverse fog networks due to the high potential for overhead. As the number and variety of IoT-based devices grow, so ensure their processing requirements, and this is where fog computing comes in. The use of sensor-based technologies helps intelligent medical services operate, as well as the system's ability to automatically gather and process data can help to accelerate the entire platform's performance. The research formulated here introduces a novel framework for smart health care, in which a set of procedures are carried out with the primary goal of decreasing delay and performance issues. The Ant Colony Optimization Technique is a nature-inspired technique utilized to improve system efficiency by balancing loads, decreasing response times, and minimizing delay. In this research, we have proposed an approach for fog-assisted smart healthcare systems that is superior to the state-of-the-art in all of these important metrics: latency, response time, overall system accuracy, and system stability.