Edge cluster scheduling method and device

Abstract

The invention discloses an edge cluster scheduling method and device, and the method comprises the steps: obtaining the transcoding information of an edge cluster, and determining a transcoding task which does not meet a preset transcoding condition according to the transcoding information; determining a transcoding task failure rate of the edge cluster according to the transcoding tasks which do not conform to the preset transcoding condition and all the transcoding tasks; and determining an issuing strategy of the transcoding task of the edge cluster according to the failure rate of the transcoding task of the edge cluster so as to guarantee normal execution of the transcoding task. According to the transcoding information of the edge cluster, the transcoding task which does not meet the preset transcoding condition can be determined in real time, and the transcoding task failure rate of the edge cluster is calculated, so that the corresponding transcoding task issuing strategy can be adjusted in time, the transcoding task can be normally executed, and the transcoding efficiency is improved. And the utilization rate of the edge cluster is developed to the greatest extent.

Description

technical field [0001] The present application relates to the field of Internet technologies, and in particular, to an edge cluster scheduling method and device. Background technique [0002] In the live broadcast business, transcoding the video stream is an essential part. Through transcoding, the format of the video stream can be converted, and the bit rate of the audio / video stream pushed by the host can be reduced without affecting the viewing quality of the user, and the freezing rate when the user is watching the live broadcast is reduced. [0003] Transcoding generally adopts two methods: center transcoding or edge transcoding. Among them, edge clusters are deployed on the edge of each city and are physically close to users, which facilitates resource transmission between users and reduces transmission delay. Edge transcoding is done by pushing the host's audio / video stream to the edge cluster, and central transcoding is done by pushing the host's audio / video stream...

AI Technical Summary

Problems solved by technology

[0004] (1) There is a single-point problem in the central transcoding. If the central cluster itself has an operation problem, all transcoding streams of the central cluster cannot be viewed;

[0005] (2) Pushing all live video streams to the central cluster for central transcoding results in a large bandwidth occupation and high bandwidth costs;

[0006] (3) All live video streams are centrally transcoded by the central cluster, so the transcoding task cannot be completed in the first time, etc.

[0007] However, there are also certain problems in edge transcoding. There are a large number of edge clusters, and most of the management and scheduling of edge clusters currently rely on manual completion, which makes the transcoding efficiency of edge clusters slow and cannot make full use of edge clusters, resulting in certain The waste of resources also affects the fast and normal execution of transcoding tasks

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