Fog computing network content cache replacement method based on value function

Abstract

The invention discloses a fog computing network content cache replacement method based on a value function, and the method comprises the steps: sequentially accessing fog nodes to obtain contents whena user terminal transmits a content request, and updating the access frequency and other information in real time; if the content still cannot be obtained after the fog nodes are traversed, determining whether the content is cached to the fog nodes from the cloud or not according to a value function of the fog nodes, wherein the function is combined with factors such as content popularity, content size and available cache storage space; in addition, the invention provides a new content cache replacement method, if the size of the content needing to be cached is larger than the remaining capacity of the fog node, the content cache replacement method is executed, the most suitable fog node is selected to delete part of the content, and the new content is stored. The method can be applied todesign and deployment of the fog computing network, the proposed content cache replacement method based on the value function improves the probability that the user request is responded, the fog nodestorage space utilization rate is high, and the cache performance advantage is obvious.

Description

technical field [0001] The invention relates to the field of fog computing communication, in particular to a value function-based fog computing network content cache replacement method. Background technique [0002] Today, the demand for data traffic is increasing day by day. Cloud computing technology has made a significant contribution to the development of current communication network technology, but a large number of user visits will lead to serious problems such as insufficient bandwidth and network delay. In order to solve this problem, fog computing came into being, which effectively improves the throughput of the network and reduces the delay of the network. In the fog computing network, fog nodes are very close to users and have functions such as storage, computing, and communication. Therefore, fog nodes can cache popular and interesting content in advance. This can effectively reduce the time for users to access the network and offload backhaul traffic. There...

AI Technical Summary

Problems solved by technology

For example, fog nodes should be considered with limited storage capacity, as heavy loads will result in high latency and low Quality of Service (QoS) for users

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