A novel allocation strategy for virtual machines in software defined data center

Cloud Data Center (DC) service orchestration and resource management are important applications of the Software Defined Networking (SDN) paradigm. In this paper, we introduce a novel dynamic allocation strategy for Virtual Machine (VM) allocation called Enhanced multi-objective Worst Fit (E-WF). E-WF combines the multi-objective Best Fit and Worst Fit allocation strategies, and it exploits the history of the previous requests to limit the resource fragmentation. We allocate the VMs choosing jointly a server and the least power-consuming network path. We show in our simulations that E-WF performs better and allocates more VMs with respect to the other presented approaches, and the power-aware network path allocation reduces the power consumption of network devices with respect to the classical shortest path first routing algorithm