基于K-距离拓扑的大规模电子通信信息云存储技术

Large-scale Electronic Communication Information Cloud Storage Technology Based on K-distance Topology

针对云存储技术在传输或存储过程中信息可能会受到攻击、窃取或丢失的问题,提出基于K-距离拓扑的大规模电子通信信息云存储技术,结合大规模电子通信特征构建云存储系统模型,根据云存储系统特性建立云存储系统拓扑,在拓扑结构的基础上采用经过信息熵优化的K-距离算法选择合适节点数,通过分布式大数据存储技术完成信息云存储。实验结果表明,当占比为75%时,所提方法的恢复成功率降至70%左右,其他2种方法均降为0,开销始终保持在1.25 TB左右,说明该方法能够有效的提高恢复成功率、降低传输开销。

Aimed at the problem that information may be attacked,stolen or lost in the process of transmission or storage of cloud storage technology,a large-scale electronic communication information cloud storage technology based on K-distance topology is proposed.A cloud storage system model is constructed combining the characteristics of large-scale electronic communication,and the cloud storage system topology is established according to the characteristics of the cloud storage system.The K-distance algorithm optimized by information entropy is used to select the appropriate number of nodes on the basis of the topology structure,and the information cloud storage is completed through the distributed big data storage technology.The experimental results show that when the proportion is 75%,the recovery success rate of the proposed method is reduced to about 70%,the other two methods are reduced to 0,and the overhead is always maintained at about 1.25 TB,which shows that the method can effectively improve the recovery success rate and reduce the transmission overhead.