混合存储架构下不完备信息系统的性能优化方法研究

当前针对不完备信息系统的性能优化方法大多只适于小规模信息系统,不适于混合存储架构下多样性高且规模大的信息系统,导致优化效果不佳。为此,提出一种新的混合存储架构下不完备信息系统的性能优化方法,对混合存储架构下不完备信息系统进行描述,给出相容关系、相容块和极大相容块的定义。通过相容填补法获取极大相容块,通过块中相容元素的相应非空属性值对数据进行填补,将混合存储架构下不完备信息系统转换成完备信息系统,以达到系统性能优化的目的。实验结果表明,所提方法可靠性高,优化效果好。

Research on performance optimization of incomplete information system based on hybrid storage architecture

At present, most of the performance optimization methods for incomplete information systems are only suitable for small scale information systems, which are not suitable for the high diversity and large scale information systems under the mixed storage architecture. This paper presents a new hybrid storage architecture under incomplete information system performance optimization method to describe hybrid storage architecture under incomplete information system, tolerance relation, given the definition of compatible block and maximalconsistent blocks. Get the maximalconsistent blocks through compatible fill method, the data fill value through the compatible elements in the block corresponding non null attribute, the hybrid storage architecture of incomplete information system into complete information system, to achieve the purpose of optimizing the system performance. The experimental results show that the proposed method has high reliability and good optimization effect.