Priority Based Dynamic Resource Allocation for Green Cloud Environment: A Survey

Cloud computing allows his subscribers to balance their resource usage based on requirements. Many of the touted gains in the cloud model come from resource multiplexing throughout virtualization technique. We offer a scheme that manipulate virtualization technique to assign physical machine resources vigorously based on application demands and maintain green computing by optimizing the number of physical machine in use. We initiate the notion of “skewness” to compute the unevenness in the multi-dimensional resource utilization of a physical machine. By reducing skewness, we can mingle dissimilar types of workloads smartly and get better the overall utilization of physical machine resources. We develop a set of heuristics that prevent overload in the system effectively while saving energy used. Trace driven simulation and experiment results demonstrate that our algorithm achieves good performance.