Edge caching system and method based on content popularity prediction

Abstract

The invention discloses an edge caching system and method based on content popularity prediction. The method comprises the following steps that: (1) according to the historical request information ofa user, training the preference model of each user in a node coverage region offline; (2) when a request arrives, if requested contents are not in the presence in a cache region, on the basis of the preference model of the user, carrying out the on-line prediction of content popularity; (3) comparing a content popularity prediction value with the minimum value of the content popularity of the cache region, and making a corresponding caching decision; and (4) updating a content popularity value at a current moment, evaluating the preference model of the user, and determining whether the offlinelearning of the preference model of the user is started or not. By use of the method, an edge node can predict the content popularity online and track the change of the content popularity in real time, the corresponding caching decision is made on the basis of the predicted content popularity, so that the edge node is guaranteed to continuously cache hot contents, and a caching hit rate which approaches to an ideal caching method is obtained.

Description

technical field [0001] The invention relates to an edge cache system and method based on content popularity prediction, and belongs to the technical field of edge cache in mobile communication. Background technique [0002] With the continuous and rapid increase of various smart devices and advanced mobile application services, wireless networks are under unprecedented data transmission pressure in recent years. The ever-increasing amount of data transmission puts enormous pressure on the backhaul links with limited capacity, especially during the peak hours of business transmission. Edge caching technology can effectively reduce the backhaul load by placing the most popular content on the node closer to the requesting user, and has received extensive attention from the industry and academia in recent years. Due to the limited storage space of nodes and content popularity changes with time and space, edge caching technology faces various challenges, such as, in order to mak...

AI Technical Summary

Problems solved by technology

[0003] Traditional caching strategies such as first-in-first-out caching strategy, least recently used caching strategy, least recently used caching strategy, and variants of these algorithms have been widely used in wired networks, however, due to the coverage and storage space of edge nodes in wireless networks Limited, the above traditional caching strategies cannot directly predict content popularity in advance, these traditional caching strategies may suffer severe performance degradation in wireless networks, therefore, these traditional caching strategies are no longer suitable for wireless networks

The current research work is turning to the popularity-based edge caching strategy, but the prediction of content popularity is complex and cannot track the changes of popularity in real time, and the cache performance is limited.

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