A dynamic optimizing adjustment model for file storage distribution in content delivery network

被引：0

作者：

Huang, Yongsheng ^{[1
]}

Tian, Xiaoyu ^{[2
]}

Liu, Yazhi ^{[2
]}

机构：

[1] Tangshan Key Laboratory of Irrformationization Technologies and Engineering Control, School of Management, Hebei United University

[2] School of Information Engineering, Hebei United University

来源：

Huang, Y. | 1788年 / Asian Network for Scientific Information卷 / 12期

关键词：

Ant colony algorithm; Competitive neural network; Content delivery network; File storage distribution;

D O I：

10.3923/itj.2013.1788.1795

中图分类号：

学科分类号：

摘要：

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. © 2031 Asian Network for Scientific Information.

引用

页码：1788 / 1795

页数：7

共 21 条

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