A Streaming Media Processing Method Based on Task Vector and Its Processing System Architecture

Abstract

The invention discloses a method for processing streaming media based on task vectors. Streaming media files are transferred to MTS, MTS generates a configuration table, and a processor sequentially reviews, slices, transcodes, and releases media files, and MTS will release The final streaming media file is sent to the MFS, and the MFS distributes the file to the CDN, and the user accesses the published streaming media file through the CDN. Also disclosed is a streaming media processing system architecture based on task vectors, including: uploader, MTS, MFS, CDN, review processor, slice processor, transcoding processor and release processor. The present invention sequentially processes streaming media files through the steps of auditing, slicing, transcoding and publishing, so that there is a vector relationship between these task steps, and the processor processes the corresponding tasks in the configuration table without communicating with the MTS Communication and complex synchronous control reduce the complexity of the system, improve the execution efficiency of the system, and improve the reliability of the system through the load balancing algorithm of the CDN network.

Description

technical field [0001] The invention belongs to the technical field of computer networks, and in particular relates to a task vector-based streaming media processing method and a processing system architecture thereof. Background technique [0002] Streaming media technology transmits audio and video data stream files through the IP network, and the streaming media server is responsible for pushing the audio and video data stream files to the broadband transmission network. Streaming media technology can control the transmission bit rate and bandwidth of continuous data streams. At present, various streaming media applications emerge in endlessly, and the scale is increasing day by day. In order to provide large-scale streaming media services, large-scale streaming media service systems need to fully consider the scalability and reliability of servers, storage, and networks, as well as issues such as quality, bandwidth, and load. Therefore, a large-scale streaming media ser...

AI Technical Summary

Problems solved by technology

The way of message transmission between the central data center and sub-nodes is query, reply, and distributed lock. Master-slave control is performed through the configuration table, and lock control and mutual exclusion are used to perform synchronization control. Sometimes reply information is lost in a distributed environment, and synchronization control is cumbersome. , the system is complex, the stability is low, and the task scheduling is complex

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