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

Published: 22 November 2021 Publication History

Abstract

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.

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ICISCAE 2021: 2021 4th International Conference on Information Systems and Computer Aided Education
September 2021
2972 pages
ISBN:9781450390255
DOI:10.1145/3482632
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 22 November 2021

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