- 专利标题： Congestion detection using machine learning on arbitrary end-to-end paths
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申请号： US17122755申请日： 2020-12-15
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公开(公告)号： US11470005B2公开(公告)日： 2022-10-11
- 发明人: Grégory Mermoud , Jean-Philippe Vasseur , Vinay Kumar Kolar
- 申请人： Cisco Technology, Inc.
- 申请人地址： US CA San Jose
- 专利权人： Cisco Technology, Inc.
- 当前专利权人： Cisco Technology, Inc.
- 当前专利权人地址： US CA San Jose
- 代理机构： Behmke Innovation Group LLC
- 代理商 Kenneth J. Heywood; Jonathon P. Western
- 主分类号： H04L47/127
- IPC分类号： H04L47/127 ; H04L47/70 ; G06N20/00 ; H04L45/42 ; G06K9/62 ; H04L45/24 ; H04W8/04
摘要：
In one embodiment, a device predicts a range of bitrates expected to be required by one or more applications associated with traffic conveyed via a particular path in a network. The device obtains telemetry data indicative of observed bitrates associated with the traffic conveyed via the particular path in the network. The device identifies, a presence of congestion along the particular path in the network, by comparing the observed bitrates to the range of bitrates expected to be required by the one or more applications. The device causes at least a portion of the traffic to be re-routed from the particular path to a second path in the network, when the device identifies the presence of congestion along the particular path.
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