Virtual Machine Placement for Improved Quality in IaaS Cloud

Cloud computing, with its immense potentials in low cost and on-demand services, is a promising computing platform for both commercial and non-commercial computation applications. It focuses on the sharing of information and computation in a large network that are quite likely to be owned by geographically disbursed different vendors. The proposed Bin packing based algorithm tries to maximize the resource utilization in a cloud datacenter and thereby increasing the profit of that cloud provider. In the proposed system, Best-fit -- Worst-fit strategy efficiently places the virtual machines to the less number of active physical servers. The jobs are scheduled using best-fit approach. The cloud broker employs worst-fit method for VM placement. The simulation result shows the significant improvements in the performance of the cloud system.