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控制器驱动的矢量自回归模型用于预测可编程命名数据网络设备中的内容受欢迎程度

Firdous Qaiser1, Mudassar Hussain2, Abdul Ahad2,3,4

  • 1Department of Computer Science, University of Sialkot, Sialkot, Pakistan.

PeerJ. Computer science
|March 4, 2024
PubMed
概括

软件定义网络 (SDN) 优化了在命名数据网络 (NDN) 边缘基础设施中的内容缓存. 在流行的可编程NDN节点 (PaCPn) 中的流行的知名度缓存框架提高了缓存的成功率20%,并减少了28%的检索延迟.

关键词:
隐藏的位置 隐藏的位置内容缓存 内容缓存信息中心网络 (ICN)NDN NDN 没有这是一个SDNSDNSDN.矢量自回归 (VAR) 是指向量自回归.

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