Named data network cache management system based on cache space division and content similarity and management method

Abstract

The present invention belongs to the field of named data networks and particularly relates to a named data network cache management system based on cache space division and content similarity and a management method. The named data network cache management system based on the cache space division and the content similarity comprises a cache space division module, a content similarity matching module, a dynamic area cache module and a dynamic cache replacement module. According to the management method, a cache space of a node is divided into a static area and a dynamic area, wherein the static area is used for storing primary content information of the node and the primary content information is updated only within Tupdate time, so that the storage time of the content is ensured and the cache hit rate of the node can be increased. Meanwhile, the cache content of the dynamic area is updated, so that the diversity of the content in a network is ensured.

Description

technical field [0001] The invention belongs to the field of named data network, and in particular relates to a named data network cache management system and management method based on cache space division and content similarity. Background technique [0002] Named Data Network (NDN, Named Data Network) is a content-centric future network. Each node in the named data network has a cache function, and the cache technology is one of the key technologies of the named data network. When the user sends the Interest Packet and finds the requested content in the cache of a certain node in the network, the data packet Data Packet formed by the content will return along the original path of the Interest Packet propagation path. At this time, the request is called a hit in the cache of the node. . When the Data Packet passes through a node in the path, the node judges whether to cache the contents of the Data Packet according to the caching policy. How to improve the cache hit rat...

AI Technical Summary

Problems solved by technology

[0004] To sum up, the current cache management scheme does not divide the node space, and the nodes do not have the right to actively select the cache content. The main shortcomings are as follows:

[0005] (1) When the node space is not divided, if the node is frequently requested, the node needs to cache a large amount of data, which makes the node cache content update too fast, resulting in a decrease in the cache hit rate

[0006] (2) The node does not have the right to actively choose to cache the content, even if the node has cached the content or similar content, it cannot actively refuse to cache the content

This will increase single-node content redundancy and reduce cache efficiency

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