Modeling and Analysis of Quality of Service and Energy Consumption in Cloud Environment

Abstract

Cloud computing is an innovative technology that poses several challenges to all organizations around the world. The primary role of cloud providers is to provide a high quality of service (QoS) to their customers as long as they do not consume a lot of energy. A lot of researchers have been interested in this topic and many algorithms have been proposed to manage cloud resources to balance QoS and energy cost. The goal is to improve the QoS of the system, maximize resources utilization and reduce the overall energy consumption. In this paper, we study techniques to manage resources utilization by exploiting the concept of virtual machine migration in a cloud data center (CDC). Two algorithms are presented and studied (Combinations of Migrations (CM) and High Priority (HP)). The obtained numerical results demonstrate the effectiveness of the proposition in terms of makespan and energy efficiency while ensuring the quality of service.