Internet-of-things terminal multistage edge node active caching method and device, and medium

Abstract

The invention discloses an internet-of-things terminal multistage edge node active caching method. The method comprises the following steps: S1, predicting the movement probability of the nodes by adopting a first-order Markov model; s2, calculating an entropy value through the movement probability to measure the uncertainty of mobility prediction, and judging the pre-fetching and caching positions of the content in the network according to the entropy value; and S3, caching the content to the node in advance according to the judged next hop position of the node. By implementing the method, the uncertainty is reduced, the redundancy is eliminated, the high cache hit rate is ensured, and the performance of replacing the active cache is improved by increasing a small amount of delay.

Description

technical field [0001] The invention belongs to the field of the Internet of Things, and relates to an active caching method, device and medium of a multi-level edge node of an Internet of Things terminal. Background technique [0002] While the current IoT architecture is very successful, it faces several challenges in coping with the multitude of applications and services that have grown with it. With this growth, the Internet is no longer a tool for two communication endpoints, but a tool needed to support mobility, security and most importantly content distribution. In order to deal with these challenges, the academic community has proposed the future Internet architecture led by the Information Center Network (ICN). ICN believes that the Internet is mainly used for content dissemination, and users who are interested in a specific content object send packets specifying the name of the content object without knowing where the content object is located and specifying the ...

AI Technical Summary

Problems solved by technology

Although this scheme can ensure coordination in the same domain for better caching decision-making, it requires the resource manager to maintain global information about the cache content of all nodes in the domain. The additional overhead during coordination is large, and the performance needs to be improved.

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