Exploration of Energy-Efficient Data Center Design for Diverse Cloud Environments

Abstract

Cloud computing enables you to access your information from anywhere at any time. The model enables on demand network of share pool of configured computing resources. With the expansion of computer and mobile users’ accessibility and storage has become the main concern. In dispensed systems, such as cloud computing, heterogeneity is becoming increasingly popular. Hardware is becoming more specialised and diverse due to requirements for high performing computers. Studies show thorough examinations of schedules executed in cloud computing settings. This also makes it imperative to optimize resources while maximizing performance of systems. The majority of this progressive analysis of energy potency has mostly focused on the process component improvement. The results of simulations for two-grade, three-grade, and three-grade high-speed data center designs demonstrate that the simulator is capable of managing power of computing and networking components by scaling of voltages or frequencies and shutting down systems.   In order to illustrate an energy-aware cloud computing data centre simulation environment, this paper introduces a model environment dubbed GreenCloud Simulator for contemporary energy learning of cloud computing data centres in realistic configurations.