MEUD: Minimization of energy utilization in the Cloud Data Center

Abstract

In computing environment of cloud plays vital role in the data center to share information over the communication medium. The cloud data centers are used to store and retrieve the large amount of data across the network with sufficient amount of energy tilized in the data processing system. In the prior work to be conducted using dynamic capacity provisioning method to save power and fine-tuning of the number of dynamic state machine for the requisite cloud utility demands. It might not be fully handle the heterogeneous cluster data center in the production environment. The data center has different capacities, capabilities and energy consumption is needed. Based on the analysis, propose the Heterogeneous Energy Utilization method to minimize energy consumption in the data center. Here we use Expectation Maximization algorithm to sort the nodes in each cluster in the data center. Clusters are enabled dynamically when the resource request to the data center, show simulation of saving energy and data center utilization effect.