A Skewness Algorithm Scheduling Approach for the Energetic Distribution of Resources for Cloud Computing Environment using Virtual Machines

Cloud computing is a new technology that uses the internet. At present cloud computing environment, the forecast approaches for (Virtual Machine) VM resources are mainly focus on the systems current state. In the resource management problems the Dynamic resource allocation problem is one of the most demanding problems. To present a better solution for solving the problem of dynamic resource allocation in a cloud computing environment, the proposed system demonstrates a skewness algorithm to determine the unevenness in the multi-dimensional resource utilization of a server. By reducing the skewness, we can combine different types of workloads and increase the overall utilization of server resources. By using virtualization technology, we can assign resources to the data center dynamically based on application demands and support green computing by optimizing the number of servers in use.