Performance Modelling of a Cloud based Health Monitoring System Using Dynamic Control System

Emergence of Mobile Technology and Cloud computing has brought rapid development in the globe especially in the health sector. This involves the use of cloud based monitoring system where wearable equipment, Mobile and Cloud Technologies are integrated. While this has produced positive change to the health sector, this system faces other critical performance challenges. These include cost, energy and resource performance. Literature reveals that researchers are working on that of energy while much is yet to be discussed on effective cost and resource performance of cloud based monitoring system. This paper addresses the issue of cost and resource performance. This is done by modelling a cloud based monitoring system using a dynamic control mechanism. This mechanism works by making certain numbers of medical experts (Resources) say n available and allows the system to dynamically switch to m other medical experts when the number of patients on the queue reaches a threshold say k. We use the queuing theory as the mathematical proof of concept and discrete event simulator to demonstrate a real life scenario. A comparative analysis of this model is done with the static system based on cost. This paper addresses two issues: the first is to determine which of the two models provide optimal solution in terms of resource management and the second is the profitability concept. That is, the model that produces optimal solution. The results reveal a better cost effective and a competitive Cost-Benefit Ratio (CBR) of Dynamic Control System over the static model.