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Method and system for selecting least-loaded route based on naive Bayes classifier

机译:基于Naive Bayes分类器选择最少加载路径的方法和系统

摘要

The invention relates to a method and system for selecting a least-loaded route based on a naive Bayes classifier, so that the performance of a method for selecting a least-loaded route is improved. A network snapshot records historical network status information, and a naive Bayes classifier is used to predict the potential future network blocking probability if a service connection is established along a candidate route between each node pair. A network snapshot corresponds to each service request that arrives, and records the number of busy capacity units on each link.
机译:本发明涉及一种基于幼稚贝叶斯分类器选择最少加载路径的方法和系统,使得改善了用于选择最小负载路线的方法的性能。 网络快照记录历史网络状态信息,并且如果沿着每个节点对之间的候选路由建立服务连接,则用于预测潜在的未来网络阻塞概率。 网络快照对应于到达的每个服务请求,并记录每个链路上的忙碌容量单元的数量。

著录项

  • 公开/公告号US11201815B2

    专利类型

  • 公开/公告日2021-12-14

    原文格式PDF

  • 申请/专利权人 SOOCHOW UNIVERSITY;

    申请/专利号US201816317063

  • 发明设计人 GANGXIANG SHEN;LONGFEI LI;YA ZHANG;

    申请日2018-01-24

  • 分类号H04L12/721;G06K9/62;H04L12/707;

  • 国家 US

  • 入库时间 2024-06-14 22:31:20

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