Research And Implementation Of Education Cloud Digital Resource Management Platform

With the rapid development of cloud computing and the Internet industry, the widespread popularity of educational information also grows explosively recently. A growing number of educational resources has become the digital resources which can be described and accessed on the Internet, including text, video, images and so on. Traditional education resource management is gradually stepping into the era of network education resource management. However an attendant problem is the rapid growth of the number of resources. Large amount of digital education resources are constantly being developed, which bring a problem about the lack of a unified and effective management. So how to effectively manage these education resources have become a new hotspot.Based on analysis and finishing of the cloud educational status and the overview research on massive data management, this paper puts forward an effective program of education resource management platform that is cloud-based education resource management platform. According to Hadoop’s success in massive data management, this paper studied the Hadoop-based some education resource management platform and introduces the integration of HBase and Mysql that is the multi-structure resource unified management because of the characteristics of education resource for the storage structure, In research and implementation of the platform, this paper particularly aims at function module, memory module and retrieval module. Function module implements the basic functions of resource management. Storage module mainly designs and implements HBase database table. Retrieval module optimizes the query function of the platform using the inverted index, which makes the platform more effective in the retrieval of resources. This paper also studied other related technologies, including compression and mining on education resource. Compression release the pressure in the storage server and mining can dig out more valuable information to users. Finally, it conducts a stress test on platform performance and evaluates the performance of the platform.