A Database Cumulative Anomaly Identification Method Based on DDM
Guangmin Sun · Jisuanji fangzhen · 2009
In traditional database identification,the anomaly identification method can't effectively solve the disk reading and writing problem,so this paper presents a DDM database based on the cumulative abnormal recognition.According to the database schema and the related data,the suspicious degree of database is measured within a certain interval through membership function.The experimental results show that in the cases of wiht DDM,without DDM,a single client and parallel clients,the DDM method has almost no influence on the writing number of the disk.The results show that this method is effective.