Hash algorithm-based low-delay live broadcast caching method, apparatus and device, and medium

Abstract

The invention provides a Hash algorithm-based low-delay live broadcast caching method, apparatus and device, and a medium. The method comprises the steps of establishing a bidirectional signaling channel; initiating media scheduling based on the bidirectional signaling channel, and generating a media scheduling result; synchronizing all levels of cache servers based on a media scheduling result; obtaining a time shift access request, analyzing the time shift access request, calculating cache time information, and generating a cache time result; on the basis of the cache time result, cache keyword information is obtained, hash operation is carried out on the cache keyword information, and a cache keyword result is generated; caching the media information by using a consistent Hash caching mode based on the caching keyword result; and searching the cache media information, and generating a time shifting service result. The invention relates to the technical field of audio and video caching, time shifting and live broadcast contents are cached through a Hash algorithm, and large-range hit of time shifting caching is ensured, so that the pressure of accessing a time shifting request of a source station is reduced to the greatest extent, and the live broadcast time delay is reduced.

Description

technical field [0001] The present application relates to the technical field of network live broadcast, and in particular, to a low-latency live broadcast caching method, apparatus, device and medium based on a hash algorithm. Background technique [0002] With the popularization of live broadcast in all walks of life, live broadcast technology has also continued to develop and make breakthroughs. However, in the existing live broadcast technology, using the HLS type live broadcast protocol for remote interaction cannot maintain real-time interaction, and the cache time is long. , there is a subjectively perceptible audio and video delay. However, due to its own complexity, the RTC protocol cannot meet the real-time processing requests of large concurrent video conferences at the level of 10,000 people. At the same time, the CDN edge server cannot cache the time-shifted requests of different users at different times, so that each user's time-shifted requests will access th...

AI Technical Summary

Problems solved by technology

[0002] With the popularity of the live broadcast field in all walks of life, the live broadcast technology has also continued to develop and break through. However, in the existing live broadcast technology, using the HLS live broadcast protocol for remote interaction cannot maintain real-time interaction, and the cache time is long , there is subjectively noticeable audio and video delay

However, due to its own complexity, the RTC protocol cannot meet the real-time processing requests of large concurrent video conferences at the level of 10,000 people.

At the same time, the CDN edge server cannot cache the time-shift requests of different users at different times, resulting in the time-shift requests of each user accessing the streaming media source site, resulting in excessive access pressure on the streaming media source site

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