Semantic Analysis of energy consumption for estimating SLA violation with virtual machine provisioning schema using DVFS

Energy consumption is one of the major expense in IT industry which has attracted the attentions of various data centers which deploys huge quantity of power supply. So attempt to reduce energy utilization is very prime concern in cloud computing as it supports various complex services obeying SLA. In this research work, we present an in-depth analysis of energy consumption at a core model of cloud computing in order to visualize the risk factors which is responsible for draining energy in data centers. We create an energy analysis which will consist of various cloudletIDs with estimation of SLA violation along with virtual machine migration with complete status capturing. Various energy host will be designed as real time virtual machine along with provisioning of various processing elements (PE) of datacenters using dynamic voltage frequency scaling methodology. The simulation will be designed in java environment to show the performance of our analysis approach to reduce energy consumption.