Based on a large-scale learning resource scheduling technology in a virtual cloud computing environment, the present invention provides an OpenStack virtual machine placement method facing streaming media live broadcasting and video transcoding, and on the basis of requirements of a streaming media broadcasting server and a video transcoading server for a CPU, a memory and network bandwidth resources of a virtual machine, a virtual machine resource requirement feature vector WJ is built. On the basis of a CPU, a memory and the network bandwidth resource consumption volume of an OpenStack cloud platform physical machine, a virtual machine performance model is built on the physical machine Pi, as shown in the description; and on the basis of the virtual machine resource requirement feature vector and the virtual machine performance model, virtual machine clusters for operating a live broadcast service and a transcoding service are placed on the proper physical machine, so that the live broadcast service obtains the maximum number of live broadcast users and the transcoding service obtains the shortest time for transcoding.