摘要：Recently, various types of bandwidth eater are growing rapidly. Cloud computing as a Internet computing has become popular day by day to provide various type of services and resources to web user. Cloud computing employs Internet resources to execute large-scale tasks. Therefore, to select appropriate node for executing a task is able to enhance the performance of large-scale cloud computing environment. There are several heterogeneous nodes in a cloud computing system. Namely, each node has different capability to execute task; hence, only consider the CPU remaining of the node is not enough when a node is chosen to execute a task. Therefore, how to select an efficient node to execute a task is very important in a cloud computing. 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
