Green Computing in Dynamic Resource Allocation for Cloud Environment

Cloud computing allows business customers to scale up and down their resource usage based on their needs. Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. In this paper, a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. The concept of “skewness” to measure the unevenness in the multi-dimensional resource utilization of a server is used. By minimizing skewness, different types of workloads can combine nicely and improve the overall utilization of server resources. A set of heuristics is developed which prevent overloading in the system effectively while saving the energy. Trace driven experiment results and demonstration of algorithm with good performance has described in the paper. Keywords—cloud computing, green computing, skewness, virtual machine(VM), physical machine(PM)