The distributed user trace collection and storage system based on interface window tree model

There has been an exponential growth in the variety of information and it is significantly that users’ accurate information is demanded on cloud storage. Actually retrieval the exact data is incompatible for the low effectiveness and most of the methods are in black box mode of data collection and analysis. This paper proposes an approach for data collection, storage and retrieval user interaction traces on the Internet based on model of interface window tree (IWT), and each user’s access trajectory is an instance of the IWT. While user visits the web site, it deals with large volume of data and user operations. These operation sequence is actually records of the user's behavior. The model provide a unified distributed storage by establishing a storage directory tree for each storage server node which is relied on the data types of structured and unstructured. The experiment results show that the system not only has good performance in providing more accurate data collection but also solves the storage problem of complex data types, and retrieves user data and access interfaces with improved effectiveness.