VOD service cache replacement method based on random forest algorithm in edge network environment

Abstract

The invention discloses a VOD service cache replacement method based on a random forest algorithm in an edge network environment. The VOD service cache replacement method comprises the following steps: collecting video data; processing the missing value of the video data by using a random forest filling method, and establishing a prediction model; predicting the average access duration through theprediction model; establishing a cache replacement model according to the prediction result; and solving the cache replacement model by using an implicit enumeration method to obtain a final replacement scheme. According to the invention, considering that the edge server needs to process a large amount of video information, and machine learning has excellent analysis capability in big data processing, firstly, a random forest algorithm in machine learning is utilized to predict the weekly average access duration of a video. Therefore, a new video cache replacement model is provided on the basis, and the model is solved by using an implicit enumeration method, so that the load of a core network is reduced to the greatest extent by an edge server, and the scheme is very simple and easy to implement, and has a very good application prospect.

Description

technical field [0001] The invention belongs to the technical field of edge networks, and in particular relates to a VOD service cache replacement method based on a random forest algorithm in an edge network environment. Background technique [0002] With the development of science and technology, ports and devices of various standards, as well as various services and applications are connected to the Internet, resulting in explosive growth of business requests in the network, and then a blowout of data traffic in the network growth, mainly due to the growth of video traffic. The core network is an important part of business distribution and service provision. One of the main functions of the core network is to connect the requests entering the network through different standard equipment and interfaces to different service networks according to business requirements, so that each business request can get the due service. Another main function of the core network is to act...

AI Technical Summary

Problems solved by technology

[0005] Most of the existing cache replacement schemes still use video popularity as one of the main criteria, and add some auxiliary criteria such as video similarity, so as to reduce repeated caching of similar and low popularity videos

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