Abstract: With the rapid development of cloud computing, cloud storage has become an important way of business-critical information services. However, limited by storage resource performance and impact data, users often need to endure a long delay of access. In order to alleviate the situation, intelligent data management technologies have been proposed, to effectively manage large amounts of data, as well as reduce access latency, improving the quality of cloud computing services. Proposing an Hierarchical Storage Access Model based on Multi-Attributes Measurement. Model managed through the statistical analysis of the static and dynamic properties of the data object, extracting key information from the properties, data management and in accordance with this decision, cold/hot data migration to the corresponding levels so that you can reasonable while planning your storage resources to improve storage system performance. Performance test results of the experiment showed that the model has good overall performance.

Key words: Intelligent data magement,Storage access model,Hierarchical storage,Data migration