Performance Analysis of Cloud Server Selection Based on Fuzzy Logic

Abstract

Cloud computing allows the use of Internet access to the centralized network of optimized computing resources, viz., application servers, network, hardware, software, and storage for clients. It provides cloud-based applications, including email, file storage and sharing, voice calling /video conferencing, and social media, to its clients. Network transmission quality is affected by bandwidth and propagation delay between client(s) and server(s), and between server(s) and client(s). The proposed protocol determines the impact of bandwidth and propagation delay of the cloud application server system using fuzzy logic decision-making techniques. The proposed protocol evaluates the quality of a cloud application server system for Email, FTP, and HTTP. The simulation is performed using OPNET. Four network scenarios, defined by combinations of bandwidth and propagation delay, are simulated and compared based on the overall transmission quality of the cloud application system. The simulation shows the performance of transmission quality rating as throughput as a function of bandwidth and propagation delay. Throughput is directly proportional to bandwidth and inversely proportional to propagation delay.