In Content Delivery Network (CDN), optimized the file storage distribution in the servers is a proper approach to balance the storage capacity of the servers and the cost of the file location. However, the active users and the files they require are varying with the time going. In this study, a dynamic optimizing adjustment model is proposed to adjusting the file storage distribution corresponding to the variation of the active users of the CDN. In the proposed model, the ant colony optimization algorithm with the competitive neural network algorithm involved is used to adjust the file storage distribution efficiently and effectively. The simulative experimental results testifies that the proposed model can achieve not only steadily smaller time cost of optimization procedure in consideration of the variation of the user scale but also higher hit ratio of file request.
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