首页> 外国专利> SAMPLING TRAFFIC TELEMETRY FOR DEVICE CLASSIFICATION WITH DISTRIBUTED PROBABILISTIC DATA STRUCTURES

SAMPLING TRAFFIC TELEMETRY FOR DEVICE CLASSIFICATION WITH DISTRIBUTED PROBABILISTIC DATA STRUCTURES

机译:带有分布概率数据结构的设备分类的抽样交通遥测

摘要

In one embodiment, a network element in a network maintains a probabilistic data structure indicative of devices in the network for which telemetry data is not to be sent to a device classification service. The network element detects a traffic flow sent from a source device to a destination device. The network element determines whether the probabilistic data structure includes entries for both the source and destination devices of the traffic flow. The network element sends flow telemetry data regarding the traffic flow to the device classification service, based on a determination that the probabilistic data structure does not include entries for both the source and destination of the traffic flow.
机译:在一个实施例中,网络中的网络元件维持概率数据结构,该概率数据结构指示网络中的那些遥测数据将不被发送到设备分类服务的设备。网元检测从源设备发送到目标设备的业务流。网络元素确定概率数据结构是否包括业务流的源设备和目标设备的条目。网络单元基于对概率数据结构不包括业务流的源和目的地的条目的确定,将与业务流有关的流遥测数据发送到设备分类服务。

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