A cross-layer caching method and nodes of a content-centric network

Abstract

The present application provides a cross-layer caching method for a content-centric network and a node thereof. The method includes the following steps: step S1: a content requester initiates an interest packet carrying the name of the requested content according to the user's needs; step S2: the node receives the interest packet, Determine whether the node is a content provider or a cache hit node that can provide the requested content; if not, execute step S3; step S3: look up the pending request table, and determine whether the pending request table has the name of the requested content, if If there is, go to step S4, otherwise go to step S5; Step S4: if there is the name of the request content in the PIT, it means that the interest packet has once reached the node, then add the interest packet arrival in the name entry of the request content in the PIT , and discard the Interest packet, ending the method.

Description

technical field [0001] The present application relates to a network caching method, in particular to a content-centric network cross-layer caching method and its nodes. Background technique [0002] Mobile traffic is growing rapidly, and the majority of data consumption comes from video streaming. Content sharing and transmission in large-scale networks directly affect transmission performance and user experience. How to distribute these large amounts of data at a faster speed and with lower network congestion has become a major challenge. Although the traditional IP-based end-to-end communication mode has achieved some success in data transmission and content distribution, it has been facing major problems in terms of mobility, flexibility, and congestion. Therefore, a new network architecture CCN (Content Centric Networking) is proposed to achieve fast content distribution. The content-centric network realizes the acquisition and caching of information through in-networ...

AI Technical Summary

Problems solved by technology

[0007] Secondly, the existing caching strategy along the path only determines whether the node or user caches from the factors of the network layer. Although the important nodes can greatly reduce the content acquisition delay, the number of cache copies of the node is large, and the node cache space needs to be constantly The replacement and update of important nodes, a large number of loads on important nodes can easily shorten the life of nodes, which nodes should cache which content directly affects the network cache performance

[0008] Thirdly, the factor of the cache location mainly considers the parameter index of the single layer of the network, and the single layer index cannot effectively improve the network transmission efficiency

When comparing multiple scenarios and multiple parameters in the network, it is impossible to design an efficient cache design scheme suitable for social networks based on the multi-parameter relationship between nodes on the transmission path

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