Recently, Network bandwidth and hardware technologies and Internet services are developing rapidly. Cloud computing as a new Internet service concept has become popular to provide various services to user. Cloud computing employs a variety of computing resources to facilitate the execution of large-scale tasks. Therefore, to select appropriate node for executing a task is able to enhance the performance of large-scale cloud computing environment. In this paper, we propose a scheduling algorithm, LB3M, which combines minimum completion time and load balancing strategies. For the case study, LB3M can provide efficient utilization of computing resources and maintain the load balancing in cloud computing environment.