首页> 外国专利> PACKET FLOW CLASSIFICATION IN SPINE-LEAF NETWORKS USING MACHINE LEARNING BASED OVERLAY DISTRIBUTED DECISION TREES

PACKET FLOW CLASSIFICATION IN SPINE-LEAF NETWORKS USING MACHINE LEARNING BASED OVERLAY DISTRIBUTED DECISION TREES

机译:基于机器学习的覆盖分布决策树的细叶网络数据包流分类

摘要

Techniques for generating a multi-layer network topology on a managed network are described herein. In an embodiment, data that was collected from a plurality of network devices within a managed network is received and analyzed within a multi-layered plurality of decision trees. The plurality of decision trees include a plurality of nodes, one overlay decision tree, and at least one underlay decision tree. The plurality of nodes include a set of logic nodes that communicatively couples the at least one underlay tree to one of the logic nodes on the overlay tree. The received data is then classified by the plurality of multi-layered decision trees.
机译:本文描述了用于在受管网络上生成多层网络拓扑的技术。在一个实施例中,在多层的多个决策树中接收并分析从受管网络内的多个网络设备收集的数据。多个决策树包括多个节点,一个覆盖决策树和至少一个底层决策树。多个节点包括一组逻辑节点,其将至少一个底层树可通信地耦合到覆盖树上的一个逻辑节点。然后通过多个多层决策树对接收到的数据进行分类。

著录项

  • 公开/公告号US2020084153A1

    专利类型

  • 公开/公告日2020-03-12

    原文格式PDF

  • 申请/专利权人 CISCO TECHNOLOGY INC.;

    申请/专利号US201816128016

  • 发明设计人 XUEQIANG (SHERMAN) MA;

    申请日2018-09-11

  • 分类号H04L12/851;H04L12/933;H04L12/715;H04L12/26;H04L12/46;G06N5/04;

  • 国家 US

  • 入库时间 2022-08-21 11:24:33

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