An Information Center Network Caching Method Based on User Interest Preference

Abstract

The invention discloses an information center network caching method based on user interest preference, which belongs to the communication field; the method is aimed at a certain user node v in the information center network, firstly, the user node periodically counts the content request records initiated by it , divide the request content into topic categories, and obtain the user node’s interest preference for different topic categories; secondly, the user node records the interest packets of each request content that passes through the node, and then calculates the value of each request content in the user The local popularity prediction value on the node; finally, the information center network returns the data packet corresponding to the interest packet along the reverse path, according to the matching degree of the topic category of the content and the interest preference of the user node, and the local popularity prediction of the content The value is comprehensively used for caching decision. The present invention uses user nodes to make cache decisions, effectively reduces the number of node cache replacements, and saves computing resources of user nodes.

Description

technical field [0001] The invention belongs to the fields of communication methods, communication terminals, communication networks and communication data processing, and relates to information center networks, in particular to an information center network caching method based on user interests and preferences. Background technique [0002] With the development of communication networks, the main application of the future network is content distribution and sharing. At the same time, the future network will have thousands of terminals connected. Finite problems will be phased out, so a content / information-centric network will become a viable architecture for future networks. [0003] Information Centric Networking (ICN) solves the problem that in the existing end-to-end communication mode, each access to content must be indirectly mapped to the device where the content is located by focusing on the data content itself rather than the location of the data content. , thus e...

AI Technical Summary

Problems solved by technology

[0005] In the existing caching methods based on node characteristics, the limitation of node cache space is not considered enough, resulting in the need for constant replacement and updating of node cache space, a large amount of load on important nodes can easily shorten the life of nodes, and there is a lack of node pairing in social networks. The consideration of different content interest preferences leads to a large cache redundancy of nodes;

[0006] In the caching method based on content characteristics, there is a lack of integration and processing of huge data content objects. At the same time, under the social network, the distinction between users themselves is ignored. Users have different interests and preferences, and different contents are located in different locations of users Popularity also tends to vary

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