Fog Computing Performance Optimization in Healthcare Environment

Abstract

Cloud computing is very powerful and efficient technology, but it suffers from some efficiency issues due to its distributed nature. With the advent of fog, the large cloud is divided into many small cloudlets. Fog computing is one of the latest techniques in today’s cloud computing environment. Each cloudlet is a small and new architectural element extending today’s cloud computing infrastructure. The term” cloudlets” has been combined with fog computing, as it enhances the characteristics of cloud computing. Today, fog computing represents a basic layer and an essential cloud component. Consequently, this technology can help solve efficiency issues. Therefore, this paper aims to improve the efficiency of the cloud computing environment by optimizing the efficiency parameters results of fog computing. The parameters include response time, latency, and network utilization. The solution is to design a simulation system to minimize the redundancy of tasks and increase the performance rate. The results show an improvement in the performance of the proposed system from 40 to 48% based on the three parameters (response time, network utilization, and latency). Therefore, these results are promising and very significant, which encourages the applying the proposed system in the real healthcare environment.