Optimum Resource Management using Virtual Machines for Cloud Computing Environment

Abstract—Cloud computing is an emerging technology for sharing computing assets instead of having local servers or individual gadgets to handle applications. Utilizing Cloud Storage, clients can remotely store their information and delight in the on-interest astounding applications and administrations from an imparted pool of configurable computing resources, without the load of local data storage and maintenance. Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. In this paper, we present 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. We introduce the concept of “skewness ” to measure the unevenness in the multi-dimensional resource utilization of a server. By minimizing skewness, we can combine different types of workloads nicely and improve the overall utilization of server 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