Information lifecycle management is a set of integrated management methods for data generation, storage and deletion. The researches on information lifecycle management both in the domestic and overseas have achieved fruitful results. Its application in enterprises has been very extensive, and the value created is inestimable. The value calculation, storage and migration of mass data are the research focus of information lifecycle management. This paper establishes the FV algorithm model, comprehensively considers the time, I/O frequency, the number of users of the file, the degree of correlation between files, the contrast, the file size and other factors to calculate the value of the file, so that the data play a maximum role in the entire life cycle. This paper establishes the migration thread based on the performance of the storage device and the FV value of the files, so that the data is stored on the most efficient device. This paper uses the files on the website to simulate the process of information lifecycle management. Calculating the FV value of the file through the web log, making the file migrate between the SSD hard disk and the traditional mechanical hard disk. The test verifies the superiority of the FV algorithm and the reliability of the data migration strategy.