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With the concept of smart campus being put forward, coupled with the continuous in-depth construction of educational information in higher education, the construction of smart campus is facing increasing challenges. At present, more and more information and data is generated to be processed in the construction of smart campus. So how to collect, process and utilize these resources effectively has become one of the urgent problems. In this context, this paper conducts the research and design on the key modules of the smart campus network cloud platform. Firstly, we use the literature research method to explain the advantages of the smart campus network cloud platform and its key modules. Then we test the network cloud platform resource scheduling algorithm, and the experimental results show that the Hadoop default FIFO scheduling algorithm achieves the best performance among the three algorithms. With the same data memory, the running time is only 248s. Finally, the key modules of the smart campus network cloud platform is designed. |
