ABSTRACT
The Cloud computing has enabled businesses and individuals to utilise the potential infrastructure in the Cloud without dealing with the cost and complexities associated with large computations. It saves businesses the initial setup, updates and maintenance cost. And individuals are provided by the physical resources they might need for a time they need them. They pay as they use the resources. Cloud computing has revolutionized the way processing is carried out. Cloud led to the establishment of large data centers that contribute in the energy consumed worldwide and consequently the carbon emission and environmental drawbacks. Green Cloud computing evolves around the development of algorithms that decreases the energy consumption and became an active research area. Green cloud strategies are proposed and tested via a broad range of assumptions. Surveying these strategies can identify the fitness of them in achieving the common objectives along with the energy consumption. We identified the way energy consumption is observed and what energy saving methods are applied. Based on that we present a taxonomy and analysis of their strength and weakness of the existing methods. Ultimately, regarding the result of the analysis, the challenges are discussed and trends for future research in green Cloud computing are identified.
