In Therefore, our proposed results increase potential growth

In recent years, cloud computing provides on-demand self services to all IT industries. It enumerates services likeInfrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS) and many more. These servicesdeployed over internet and utilizes based on user requirements. However, number of user’s increases in-contrast performanceand quality of services drastically sacrificed. Meanwhile, it takes high-energy consumption due to heavy usage of clouddatacenters. Information and Communication Technology (ICT) placed one of the highest energy consumption and Co2emissions comparatively from other industries. The United States stated that the total energy consumption on August 2016 is65,392 Trillion Btu (British thermal unit) 1. This total energy consumption includes Residential, Commercial, Industrial,and Transportation. Out of these four sectors, industrial region takes highest energy usage of total energy consumption fromothers. In June 2016, U.S Data Center Energy Usage Report 2 mentioned the estimated total energy consumption in 2014 as70 billion kWh and this is 1.8% of total power consumed by U.S. government. This report estimated in 2020 will promptlyincrease 73 billion kWh. In addition, Mike Ebbers et al. 3 IBM green datacenter journey announced, only 45% of anorganizations maintaining energy efficient programs like energy star label for reduce Co2 emission. Ultimately, each datacenters consume 55% for power and cooling while 45% for IT load. Server hardware like power supply, memory, fan anddrive consumes 70% of energy meanwhile 30% consumed by processor. Resource usage of computing nodes utilizes 20%while 80% of power wasted in idle or sleep mode. Therefore, our proposed results increase potential growth of cloudcomputing. In addition to that, it demonstrates reduced energy consumption and increasing resource utilization in cloud datacenters.