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公开(公告)号：US20190281078A1
公开(公告)日：2019-09-12
申请号：US15915335
申请日：2018-03-08
发明人： Alejandro Alberto Eguiarte Salazar , Nagendra Kumar Nainar , Richard Furr , Yogesh Thoppae Ramdoss
摘要： In one embodiment, a server may receive both layer-2 topology information and layer-2 telemetry information from a plurality of layer-2 switches. The server may then apply behavioral learning to both the layer-2 topology information and the layer-2 telemetry information to detect layer-2 patterns that are indicative of one or more problematic layer-2 behaviors. As such, based on the behavioral learning, the server then creates predictive rules to be applied within layer-2 networks to predict the one or more problematic layer-2 behaviors. The predictive rules may then be used within a particular layer-2 network to cause i) prediction of one or more particular problematic layer-2 behaviors within the particular layer-2 network based on data from a plurality of switches within the particular layer-2 network, and ii) mitigation against the predicted one or more particular problematic layer-2 behaviors within the particular layer-2 network.
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公开(公告)号：US10862910B2
公开(公告)日：2020-12-08
申请号：US15915335
申请日：2018-03-08
发明人： Alejandro Alberto Eguiarte Salazar , Nagendra Kumar Nainar , Richard Furr , Yogesh Thoppae Ramdoss
摘要： In one embodiment, a server may receive both layer-2 topology information and layer-2 telemetry information from a plurality of layer-2 switches. The server may then apply behavioral learning to both the layer-2 topology information and the layer-2 telemetry information to detect layer-2 patterns that are indicative of one or more problematic layer-2 behaviors. As such, based on the behavioral learning, the server then creates predictive rules to be applied within layer-2 networks to predict the one or more problematic layer-2 behaviors. The predictive rules may then be used within a particular layer-2 network to cause i) prediction of one or more particular problematic layer-2 behaviors within the particular layer-2 network based on data from a plurality of switches within the particular layer-2 network, and ii) mitigation against the predicted one or more particular problematic layer-2 behaviors within the particular layer-2 network.
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