In order to solve the problems of reduced storage performance, reduced resource utilization, increased I/O response, which are caused by unbalanced load distribution of OpenStack, the weighted least-connection scheduling algorithm is improved. Researching load balancing scheduling algorithm for object storage, using CPU memory disk and I/O of the storage nodes information of resource utilization, considering the number of request connections, we calculate the storage node load capacity performance and weight. Load balancing determines task distribution direction according to the size of every weight. Experiments show that the improved load balancing scheduling algorithm can optimize the performance of storage, improve the data throughput storage performance and system stability.