Network distance education platform control system based on big data

In this paper, an overall framework of the control system of the network distance education platform is designed. The RTCP control structure Word is used to handle the context-aware control system of the network distance education platform, and the centralised control method is used to design the user interaction experience, the function of each module of the control system is analysed. The big data integration scheduling model of the network distance education platform is constructed. The experimental results show that the average computational cost of resource scheduling consumed by the proposed method was 32.34 ms, which is 12.6% and 23.7% faster than the other two traditional methods. It shows that the designed network distance education platform control system consumes shorter execution time and can provide better output stability, higher accuracy of big data resource scheduling, and good control performance.