Abstract: Traditional resource scheduling methods have many problems, such as long execution time span, low channel access rate, unbalanced resource load, and so on. A multi-channel joint equalization scheduling algorithm was proposed in cloud computing environment. According to the multi-channel communication link optimization and multi-channel resources in cloud computing environment, the multi-channel link model was constructed. The optimization model of the channel end to end reliability maximization was proposed, and the optimization problem was converted into a multi channel joint equilibrium scheduling problem. By using the multi-channel optimal span and load balancing algorithm algorithm, the multi-channel joint equalization scheduling problem was solved. Combined with the characteristics of multi-channel data processing and task execution, the optimal span and load balancing dual fitness function was designed. In the initial stage and close to the convergence stage, the fitness function was adjusted appropriately to complete the multi-channel joint balanced scheduling. The experimental results show that the proposed method has the advantages of small execution time span, high channel access rate and good load balance, which can meet the real-time requirements of resource transmission.