A novel approach to improve the SLA and energy consumption of grid networks

In recent years, Modern data centers in grid computing are hosting a variety of advanced applications and the IT infrastructure due to the demand for computational power infrastructure that is used by applications, is growing rapidly. One of the most important objectives of the VM placement algorithm is locating optimized virtual machines on physical servers, So that the minimum number of physical servers to increase the overall performance of the network environment to be turned on. Putting efficient VMs in PMs (Physical Machines) in grid environment improves resources utilization and energy consumption. In this paper, we apply TOPSIS method to design an integrated VM placement algorithm, called TOPSIS VM Placement (TVMP) which can reduce the number of running PMs and energy consumption. Simulation results in Grid Sim environment show that the proposed algorithm is superior to existing algorithms in terms of migration, traffic cost, SLA and energy.