A Cache Judgment Method Based on Node Importance in Content-Centric Networks

Abstract

The invention discloses a content-centric networking cache judgment method based on node importance degrees. According to the method, importance degrees of nodes on return paths are considered, reasonable distribution of network cache resources is further improved, and the cache hit rate is increased, so that performances of a content-centric networking are improved on the whole. The method is applicable to deployment of the content-centric networking.

Description

technical field [0001] The invention belongs to the field of content-centric networks, and in particular relates to a content-centric network cache judgment method. Background technique [0002] Since the emergence of the Internet in the 1960s, the Internet has developed rapidly, and its application subjects have shifted from the initial hardware sharing to the sharing of information such as text, pictures, and videos. Users pay more attention to the speed, quality and security of content rather than where to get it. The existing host-centric network system has been difficult to meet the development needs of the Internet. Although improved technologies such as CDN and P2P have emerged, they still cannot overcome many inadaptability problems exposed by them. Therefore, it is inevitable to build a new network system, and under this background, the information-centric network (ICN: InformationCentricNetworking) came into being. [0003] The so-called information-centric netwo...

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Problems solved by technology

However, in the BETW method in [2], the return data is only cached on the most important node on the return path. This method is not very reasonable, and the most important nodes on the return path may be far away from the user. , which will increase the average hit distance for users to obtain content and increase network delay

[0007] Because the existing cache judgment technology does not take into account the importance of each node on the return path, the cache is performed according to the different importance of each node, which leads to unreasonable allocation of network cache resources, a relatively low cache hit rate, and the overall content of the content-centric network. The online performance is not good enough to ensure that ① users can access the content nearby; ② reduce the content acquisition delay and better realize the reasonable allocation of network resources

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