Study On Learning Resource Register And Discovery Based On Resource Grid

As the developing of the information technique, the popularization of remote education, abundant learning resources rose in Internet. In modern time, learning resource sharing is so important, it will enhance the human knowledge sharing and civilization progressing. Therefore, how to totally share the multiple learning resources, which stored in different format and different locations, through the internet, and How to find a learning resource in such a quick and exact way, are the content needs to research in this thesis.At the beginning, introduce some concepts about resource grid. Analysis some traditional resources discovering model. After defining the describer for learning resource and enroll center, bring forward a new tree-based, top down learning resource registering and searching model which integrated the advantage both of the center and distribute model, can be extended and self-management. For the sake of stableness and robustness, bring in the P2P technique to handle the exception condition. And use the comparability concept-based learning resource discovering method to enhance the resource veracity. At the end of the thesis, design and implement the core component of the model and done the performance testing on it to prove the model in the thesis is applicable in the real world.