Multi-Objective Emperor Penguin Optimizer for Tuning the Quality-of-Service in Cloud Computing

In the present situation, researchers have the task of developing a high quality features based cloud computing system in the real world if service is desired on request. Quality of service (QoS) describes such parameters which carry out the non-functional activities for any real time based systems. Such services are normally sufficient to achieve these QoS. Most of the information technology (IT) companies offer different cloud based services to its customers. There is no standard methodology available for calculating the actual use of cloud based resources and determining the rankings. From the customers’ point of view, it is not an easy task to find the reliable service provider that meets customer’s needs. This paper presents the QoS parameter especially on ‘throughput’ using Cloud Rank 3 with aid of Multi-Objective Emperor Penguin Optimizer (MOEPO) approach. This approach helps in finding the adorable and competent cloud service provider (CSP) available in the market. The different experiments have been carried out with actual QoS results, using Amazon EC2 services and its comparison.