In the current and social market economy of our country, cloud computing is gradually get better development. However, there is no charges related to cloud computing, cost directly affects the resource utilization of enterprises and satisfaction of users. Load the network situation of the ant colony algorithm to simulate the operation of the network, but to solve the balance and traffic load of the network congestion is incapable of action. For the above problems, the author puts forward an

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... oved ant colony algorithm, the relevant data for consumer behavior in the use of ant colony algorithm, scheduling, use of consumer behavior to help to solve the problem of network load, so as to achieve the goal of rational use of cyber source. The improved algorithm mentioned in this article, on-time performance is better than the ant colony algorithm. Meanwhile, the authors introduced a consumer preference factor, making scheduling more flexible cloud computing and intelligent. In addition to the authors propose a new model that can help users more involved in the cloud were to go, so to find a maximization of their own interests.