摘要
存储控制器中的数据分布稀疏性较强,难以挖掘到有效数据,提出一种基于超融合架构的存储控制器有效数据捕获技术,构建超融合架构的存储控制数据分布结构模型,采用子空间分布式重建方法进行的超融合架构下的数据存储控制器模糊调度,提取存储控制器中数据的关联信息特征量,根据关联特征提取结果进行存储控制器有效数据的高阶统计量分析和模糊分区调度,采用超融合架构方法进行存储控制器中的有效数据信息融合处理,根据融合结果滤除容易数据,挖掘得到有效数据,实现有效数据的准确捕获。仿真结果表明,采用该方法进行存储控制器有效数据捕获的准确性较高,挖掘精度和抗干扰性能的指标表现性能较好。
The data distribution in the storage controller is very sparse,so it is difficult to mine the effective data.An efficient data capture technology based on hyperfusion architecture is proposed to construct the storage control data distribution structure model of hyperfusion architecture.The data storage controller fuzzy scheduling based on the super-fusion architecture is implemented by using the subspace distributed reconstruction method,and the characteristic quantity of the data association information in the storage controller is extracted.According to the correlation feature extraction results,the high-order statistics analysis and fuzzy partition scheduling of the effective data of the storage controller are carried out,and the efficient data information fusion processing in the storage controller is carried out by using the super-fusion architecture method.According to the fusion result,the easy data is filtered out,the valid data is obtained by mining,and the effective data is captured accurately.The simulation results show that the proposed method has high accuracy and good performance in mining accuracy and anti-jamming performance.
作者
蒋科
JIANG Ke(Nanchong Central Hospital,Nanchong Sichuan 637000,China)
出处
《自动化与仪器仪表》
2019年第6期118-121,共4页
Automation & Instrumentation
基金
国家自然科学基金(31622040)
关键词
超融合架构
存储控制器
数据捕获
挖掘
特征提取
hyperfusion architecture
storage controller
data capture
mining
feature extraction
