Abstract: The most important basis of data classification is data's values and how they change over time in the period of fully automated Information Lifecycle Management(ILM). Different from the departed value model that uses the degree of information usage to classify the file, the ILDM based on the ILM was proposed, which uses the data distribution to classify the information. I}hc recency, the degree of information usage and the data distribution arc taken into consideration in this model. It can be concluded from the experiment that this method is helpful for reducing the migration workload and enhancing the utilization ratio of the system resource.

Key words: Information value, Value model, Data distribution,ILM