A Novel Dynamic Resource Allocation Using Virtual Machines for Cloud Computing

Abstract

The main potential of cloud computing is that it's capable of dealing with a tremendous quantity of developing work in a predestined manner for the utilization of the trade consumers. The foremost enabling science for cloud computing is virtualization which generalize the physical infrastructure and makes it effortless to use and manage. In this paper, we present a procedure that makes use of virtualization technology to allocate data center assets dynamically based on utility demands and support green computing by optimizing the quantity of servers in use. We introduce the proposal of “skewness” to measure the unevenness in the multi-dimensional resource utilization of a server. By way of minimizing skewness, we will combine extraordinary varieties of workloads effectively and strengthen the overall utilization of server resources. We advance a suite of heuristics that prevent overload in the method without problems while saving energy used.

Index Terms— Cloud computing; Green computing; Resource; Skewness; Virtual machine.