By overcoming the several critical obstacles in IoT, Big Data, and Cloud, fog computing has emerged as one of the top technology. Because fog processes information more quickly than cloud, computing paradigms are trending that way. The abundance of idle devices close to users aids in overcoming the cloud's latency problem. A key component of effective data processing is resource management through load balancing. A dynamic resource load balancing environment is used to create a method for monitoring vital signs for Covid and emergency patients based on the pandemic condition. In addition to this, we have previously encountered a variety of illnesses like the plague, the flu, and others that were pandemics. Aside from them, there are other serious illnesses that require constant observation, such as cancer, hypertension, a heart attack, lung and liver disease, kidney failure. As the hospital's patient population is rapidly growing, it is not possible to treat every patient there. When using fog computing to treat patients, infrastructure is required to solve resource problems quickly. DynaReLoad suggested strategy would offer quick access to medical care and stop early deaths from critical diseases. Any anomaly will result in an urgent alarm being sent to the doctors. The DynaReLoad has gained improvement in results with minimum latency 23.20ms, makespan 101.94ms, scheduling time 23.76ms and response time 21.61ms, maximizing load balancing level 70.94ms and resource utilization 87.19ms as compared to other Load balancing algorithms using iFogSim.

Load balancing; Fog computing; IoT, cloud computing; Healthcare; vital-signs monitoring sensors