Router hotspot video intelligent distribution method

Abstract

The invention provides an intelligent router hotspot video distribution method which includes the steps that the probability that videos in various channels become hotpot videos is predicted through the playing amount of the videos in a period of time, or price change events of the videos or whether the videos are videos of famous persons or not; according to the predicted hotspot video probability in the hotspot video predicting step, a number of hotspot videos to be pushed are fused; in the low bandwidth cost time frame of all regions, the hotspot videos to be pushed are pushed to intelligent routers of all the regions in advance; users in the regions initiate the video-on-demand step to intelligent servers to obtain the required videos. Accordingly, by means of the method, the hotspot videos to be played can be predicted and are distributed in the low bandwidth cost time frame in advance, the predicting efficiency is improved as much as possible, the network playing cost is reduced, and the video playing quality is improved.

Description

technical field [0001] The present application relates to the field of intelligent routers, and in particular, relates to an intelligent distribution method of router hotspot videos. Background technique [0002] Streaming media refers to the form of transmitting audio, video and multimedia files in the network in a streaming manner. Streaming media applications such as online video-on-demand, online live video, and video calls have been widely used. There has also been widespread concern about the playback experience of streaming media services and the large amount of bandwidth they consume. [0003] When streaming media on-demand key content, it is an important part of the forecast for users to watch content, among which popular videos are an important part, and videos that are often on-demand in streaming media networks become popular videos. However, in a specified network, especially in some community networks or company networks, etc., the network cost is relatively ...

AI Technical Summary

Problems solved by technology

However, in a specified network, especially in some community networks or company networks, etc., the network cost is relatively high. If video on-demand is initiated frequently, the company's network resources will be greatly consumed, which will be a waste of cost. , and will congest the network channel of the company or community, resulting in poor network communication, and when users use streaming media on demand, they often have problems such as card, slowness, etc.

[0004] Therefore, how to solve the problems in the prior art, such as the high cost of network ordering for companies and community users, and the easy occurrence of lag and slowness of ordering during peak hours, has become a technical problem that needs to be solved urgently in the prior art.

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