A Cloud Based Approach for Dynamic Resource Allocation using Virtual Machines

Cloud computing technology mainly concentrates on visualization that allows a business customer to scale up and down their resource usage based on customer needs which are never ending and the projected advantages of cloud model are those come from resource multiplexing which is based on virtualization technology. In this paper we propose a system that uses a virtualization technology for allocating data center resources dynamically which are based on application requirements and support green computing by optimizing the number of servers running or working based on the concept of skewness to measure the unevenness in the multi-dimensional resource utilization of a server by reducing skewness as much as possible by combining different types of workloads in a optimized manner which improves the overall utilization of server resources. We developed a set of heuristics that prevent overload in the system effectively while saving the energy that is being used. We implement this paper using PHP5.0 and weka 6.0 tools to simulate and shown experiment results that demonstrate our algorithms proposed performance results.