天地一体化信息网络2024，Vol.5Issue(1)：40-47,8.DOI:10.11959/j.issn.2096-8930.2024005
基于聚类算法内容流行度预测的空天地一体化网络缓存方法
A Space-Air-Ground Integrated Network Caching Method Based on Clustering Algorithm Content Popularity Prediction
摘要
Abstract
This paper proposed a new space-air-ground integrated network caching method,that was,cluster based content caching method.Based on the space-air-ground integrated network architecture,this method used the extracted content features to predict the popularity and used it for cache replacement decision.Content popularity prediction was realized based on dynamic clustering algorithm.This method could effectively reduce the pressure on the ground backbone network and further improve the quality of user experience.It evaluated the performance of our method using the open Douban movie review dataset.This dataset could be used to simulate user requests.Experimental simulation results showed the feasibility and effectiveness of the method.关键词
空天地一体化网络/内容缓存/流行度预测/聚类算法Key words
space-air-ground integrated network/content caching/popularity prediction/cluster algorithm分类
计算机与自动化引用本文复制引用
仇超,王晨阳..基于聚类算法内容流行度预测的空天地一体化网络缓存方法[J].天地一体化信息网络,2024,5(1):40-47,8.基金项目
国家自然科学基金青年项目资助(No.62002260)The National Natural Science Foundation of China(Youth)(No.62002260) （No.62002260）
