In order to balance the utilization of multi-dimensional physical host resources and reduce usage number, a virtual machine allocation energy saving algorithm was proposed based on hierarchical topology tree (HTES) in the environments of distributed data center, which enhances allocation efficiency of the virtual machines. Laplacian matrix was then used to split large-scale network topology and to build hierarchical topology tree model. Furthermore, according to the distance between request IP address and the data center, HTES divided the virtual machines into groups, and searched the appropriate physical host region from hierarchical topology tree for allocation, which is based on the match degree between virtual machine requests and physical hosts. Simulation experiments were performed on HTES algorithms and other three algorithms, considering the virtual machine allocation time, resource balancing rate, energy consumption and physical host usage, and other aspects. The results shows that the HTES is able to balance multi-dimensional resources physical hosts, reduce physical host usage, and save energy consumption.