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The resource scheduling problem in the environment of the cloud computing is studied.Concerning ant colony optimization(ACO) algorithm in solving the large-scale combination optimization problem easy to fall into the search speed slowly and partially the most superior,a bidirectional ant colony optimization(BACO) algorithm implementation of cloud computing load balancing for resource scheduling is proposed.This algorithm considers the load and computing capacity of each virtual machine.At the same time forward movement of ants and backward movement of ants are introduced in the cloud environment.Finally,the experiment simulated on CloudSim platform shows that the algorithm enables the reduce of total task completion time and has good effect in optimization capability and load balancing.It is proved to be an effective resource scheduling algorithm.