Research And Implementation Of Massive Teaching Resource Storage Model Based On Cloud Computing

With the rapid development of network technology, as well as our country’s higher education to the advancement of informatization education, many universities in the process of teaching information of all kinds of teaching resources data also in high-speed growth. Traditional way of teaching resource storage has been difficult to meet the increasing data storage requirements, various universities are facing the teaching resources and dispersion, low utilization rate of resources and resource maintenance cost higher serious problem. In recent years, cloud computing in the mass data storage and processing advantages in the field of education also obtained the application and popularization, this article mainly aims at the current demand for storage of teaching resources and the massive teaching resource storage model is analyzed and studied. Therefore, this article on the basis of a lot of people do the following several aspects work:First of all, the powerful advantages of mass data storage in cloud computing can solve the problem of storage on the current teaching resources, this paper studied the existing mass data storage model and analysis, and combining the Hadoop cluster technology, the university informatization of mass storage model of teaching resources deployment on Hadoop platform, through the cloud computing core algorithm graphs classifying teaching resources of colleges and universities data processing, finally, the teaching resources stored in the Hadoop Distributed File System HDFS(Hadoop Distributed File System). The storage model not only overcome the disadvantages of traditional teaching resource storage, but also improve the efficiency of data storage.Secondly, after studying the graphs algorithm on the basis of the basic principles and applications, in view of the current mass storage requirements of the teaching resources, this paper applied a modified graphs calculation model based on cloud computing environment. The model adopts the two index classification storage model solution, in the traditional calculation results establish an inverted index table, at thesame time in the calculation of the second processing of classifying teaching resources by weight, so that after two classification, index is the direction of the weights of the index table and an inverted index table. Then, by comparing the test graphs algorithm model of data processing performance before and after improvement, the experiment proved that the improved algorithm of graphs model improves the mass data storage model of teaching resources storage capacity and computing performance.Finally, the existing experimental conditions, according to the school to build and deploy the Hadoop distributed cluster and completely for storage test of the model. The experimental results show that the mass of teaching resources data storage model based on cloud computing is effective and feasible.