An Energy Aware Cloud Load Balancing Technique using Dynamic Placement of Virtualized Resources

摘要

With increasing demand and popularity of large scale cloud datacenter, it has become very important to allocate the resources in such a way that not only leads to efficient utilization of resources as well as reduces the energy consumption. Cloud applications consume a lot of energy and thereby contribute to high operational costs and also affect the environment by carbon emission. To tackle this problem, we propose an energy efficient resource allocation framework that uses virtualization to allocate the data center resources based on the application demands. Our algorithm minimizes the total number of running servers and improves the resource utilization. Also we introduce a method for dealing with the problem of overloading while reducing the energy used. Through experimental evaluations it is demonstrated that the proposed algorithm is able to achieve the substantial reduction in energy consumption and improves the overall resource utilization.