Information centric networking caching method based on content popularity prediction

Abstract

The invention provides an information centric networking caching method based on content popularity prediction, relates to the technical field of communication network data processing, solves a caching redundancy problem in the prior art of information centric networking caching, and improves the sharing efficiency of cached contents. In the method, each node records the content names of all request contents received by each node, and similarities among all contents are calculated and are clustered; the content popularity value of each class of contents which pass through the node is calculated and is subjected to periodic statistics; and a prediction algorithm is used for predicting the content popularity value of each class of contents of a future moment of the node, and the content popularity value is added into the data packet of a hit node; and in a data packet returning process, a content popularity prediction value carried by the data packet is compared with a local content popularity prediction value to determine whether the contents are added into a node cache or not. The method is used for optimizing the cache access of content-based information centric networking.

Description

technical field [0001] The present application relates to the technical field of communication network data processing, in particular to an information center network caching method based on content popularity prediction. Background technique [0002] With the development of communication networks, the future network will use content distribution and sharing as the main application. At the same time, the future network will have thousands of terminals connected to the network. The existing Internet centered on IP addresses cannot solve the complex and Insufficient bandwidth is limited, and Information Centric Networking (ICN) solves the problem that each access to content in the end-to-end communication mode 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. problem, thereby effectively reducing network traffic overhead. [0003] One of the key technologies of ICN is in-ne...

AI Technical Summary

Problems solved by technology

The existing caching method based on node characteristics does not consider the limitation of node caching space enough. The node caching space needs to be constantly replaced and updated. The large load of important nodes can easily shorten the life of nodes, and there is a lack of content preference for nodes in social networks. Different considerations lead to a large cache redundancy; while the existing content-based caching methods lack the integration and processing of huge data content objects, while ignoring the distinction of users themselves, for example, different content in social networks The popularity of different user locations tends to vary

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