Cache decision method and device

Abstract

An embodiment of the present invention provides a cache decision method and device, the method comprising: after the first node receives the request packet containing the first content prefix name, find the content requested by the request packet in the node content cache of the first node , add the node betweenness and hop label of the node to be cached on the return path to the first data packet, return the first data packet, the node to be cached on the return path is the node with the largest node metric, and the request is not found When the requested content is packaged, the first content prefix name is searched in the PIT of the first node, and different forwarding processes are performed when the first content prefix name is found and when the first content prefix name is not found. The cache method and device provided by the embodiments of the present invention improve the cache utilization rate of node content and the performance of the system.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of communications, and in particular, to a cache decision method and device. Background technique [0002] With the research progress of the future Internet architecture, some innovative network architectures have emerged one after another. The core idea of ​​these network architectures is content-centered, breaking the traditional IP communication mode centered on the communication terminal (host), collectively referred to as It is an information-centric network (Information-Centric Networking, hereinafter referred to as: ICN). Among the numerous ICNs, Content-Centric Networking (hereinafter referred to as: CCN) and Named Data Networking (hereinafter referred to as: NDN) are currently the most concerned architectures, and CCN is a content-based communication Architecture, each node has a certain storage function, and the cache unit is a content block. The cache decision method is...

AI Technical Summary

Problems solved by technology

[0004] However, according to the above caching strategy, the same content will be requested many times on important nodes. The more important the node, the more requests will arrive, and the more content needs to be cached, so the node load will also increase. In the actual network , because the node cache is much smaller than the total content, so when the total content exceeds the node cache, the content in the cache will be replaced frequently, and the newly cached content, even if it has a high popularity, is more likely properties are quickly replaced, resulting in the failure of subsequent requests to make full use of the previous cache, and the cache utilization rate is very low

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