Research on Master-Slave Database Management and Scheduling Algorithm of Distance Education Based on Streaming Media Technology

At present, the application of streaming media (SM) technology and network technology in distance education is a hot issue. Because distance education, especially distance multimedia teaching, involves the transmission of audio and video on the network, and the current network situation is not ideal for the transmission of audio and video streams, therefore, solving the problem of master-slave database management and scheduling algorithm in distance education is the key research content of this paper. Multi-level feedback queues are used to store different types of data, and the idea of dynamic buffer partition is proposed. In different playing stages, the node buffer is divided into different parts. In the initial playing stage of the node, the data to be played is cached in the emergency area to reduce the buffering time. The data scheduling path loss model controlled by SM network communication cost matrix is constructed, and the algorithm is improved. Experimental results show that the model can effectively reduce the scheduling path loss of SM data, optimize SM data transmission, and finally achieve the minimum transmission delay and avoid scheduling delay and distortion.