Green Cloud Computing: Datacenters Power Management Policies and Algorithms

Abstract

Cloud computing is offering utility oriented IT services to users worldwide. Based on a pay per use model, it provides a variety of computing resources, enterprise applications while enabling their hosting. It provides services through a three layered architecture and different cloud types. The proliferation of cloud computing has resulted in the establishment of large-scale data centers around the world containing thousands of computing nodes. Those nodes consume huge amounts of energy, contributing to high operational costs and carbon footprints to the environment. Energy consumption is not only determined by hardware efficiency, but it also depends on the resource management system deployed on the infrastructure and the efficiency of applications running in the system. This study is to introduce algorithms and policies that reduce power consumption in cloud data centers through improving the utilization of computing resources using fuzzy logic. The thesis starts with introducing cloud computing and its impact on the environment and clearing out the green cloud computing origin, concepts and methodologies. Next, it discusses approaches and directions for similar work, and demonstrates the working environment definitions, structures and techniques. It represents the design and implementation of Fuzzy based algorithms and policies for dynamic resource management in cloud data centers. Finally, the thesis compares the presented policies with existing approaches showing that the introduced models improves power efficiency in cloud datacenter with around 40 % than other policies.