C-RAN based internet content caching and preloading method and system

Abstract

The invention discloses a C-RAN based internet content caching and preloading technology. The C-RAN based internet content caching and preloading technology comprises the following steps: according to classification of requested resources, querying the corresponding cache directory; if the requested content is saved in the local cache directory, directly returning the corresponding content to a user; if the requested content is not saved in the cache directory, querying the cache directory of a cloud platform server again; if the query fails, acquiring the corresponding resource through internet, and returning the resource to a user; respectively performing hot statistics to the cached and un-cached access contents; according to the access records of the user, obtaining the user preference, and analyzing the user tag composition ratio; when the hot value is up to the upper limit or the user tag composition ratio is higher than the threshold value, triggering a caching and preloading unit, and applying preloading cache to a background server. The C-RAN based internet content caching and preloading technology disclosed by the invention aims to the mobile communication development in the future, realizes the optimal content cache storage in the whole internet, increases the storage utilization rate, effectively saves the internetwork settlement cost, and improves the user experience.

Description

technical field [0001] The embodiment of the present invention relates to the field of communication technologies, and in particular to a method and system for preloading Internet content cache based on a Cloud-Radio Access Network (C-RAN). Background technique [0002] With the commercialization and widespread deployment of 4G networks, users can enjoy increasingly high-speed data services. The rich applications of the mobile Internet, such as OTT, social networking, file download, real-time video, etc., have further stimulated the use of mobile devices (smart machines, tablets, etc.) by users. According to the traffic data forecast report released by Cisco in February 2014, from 2013 to 2018, mobile data traffic will grow at a compound annual growth rate of 61%. Therefore, the downlink traffic load of the cellular network increases sharply, and the workload of network equipment increases greatly. The transmission link is congested, and the end-to-end link path of the dat...

AI Technical Summary

Problems solved by technology

Such a deployment has certain advantages, however, in the existing technical solution, the access hit rate of the Internet content stored in the base station is relatively low in this existing content storage and query mode

For operators, the utilization rate of cache storage is also low, the economic benefit is not obvious, and it is in a passive cache "pipe", and the user perception is poor; from the user's point of view, the storage space of the base sta

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