大数据云存储下海量数据传输完整度控制技术

为确保大数据云存储下海量数据传输的完整度，提出了一种基于属性特征匹配和关联规则的海量数据传 输完整度控制方法。构建海量数据的属性特征高维重组模型，得到关键信息的特征分布状况，据此设计海量数 据的关键信息存储分布结构模型，采用关联规则方法进行海量数据的关键信息特征挖掘提取，利用关键信息进 行海量数据的特征分析和数据聚类处理，采用属性特征匹配方法设计海量数据关键信息存储节点后，利用模糊 减法聚类对关键信息存储节点进行聚类处理，在海量数据传输中，以数据关键信息存储节点传输的完整度实现 海量数据的传输完整度控制。仿真结果表明，采用该方法进行海量数据传输完整度控制，能提高云存储下的空 间利用效率，数据传输完整度高。

Integrity Control Technology of Mass Data Transmission under Big Data Cloud Storage#br#

In order to ensure the integrity of massive data transmission under big data cloud storage，a massive data transmission integrity control method based on attribute feature matching and association rules is proposed． The high dimensional reorganization model of attribute features of massive data is constructed，and the feature distribution of key information is obtained． The key information storage and distribution structure model of massive data is designed，the key information feature mining and extraction of massive data is carried out by using association rule method． The feature analysis and clustering processing of massive data are carried out by using key information． And the key information storage nodes of massive data are designed by attribute feature matching method． Using fuzzy subtraction clustering to store key information the storage node carries on the clustering processing． In the massive data transmission，the data key information storage node transmission integrity degree is used to realize the massive data transmission integrity control． The simulation results show that this method can improve the efficiency of spatial utilization and the integrity of data transmission in cloud storage．