公开(公告)号：US11032181B2

公开(公告)日：2021-06-08

申请号：US16434263

申请日：2019-06-07

Applicant: Cisco Technology, Inc.

Inventor： Jean-Philippe Vasseur ,  Vinay Kumar Kolar ,  Grégory Mermoud

IPC: H04L12/26 ,  H04L12/24

Abstract: In one embodiment, a device obtains performance data regarding failures of a tunnel in a network. The device generates a failure profile for the tunnel by applying machine learning to the performance data regarding the failures of the tunnel. The device determines, based on the failure profile for the tunnel, whether the tunnel exhibits failure flapping behavior. The device adjusts one or more Bidirectional Forwarding Detection (BFD) probing timers used to detect failures of the tunnel, based on the determination as to whether the tunnel exhibits failure flapping behavior.

公开(公告)号：US20210160148A1

公开(公告)日：2021-05-27

申请号：US16694520

申请日：2019-11-25

Applicant: Cisco Technology, Inc.

Inventor： Vinay Kumar Kolar ,  Jean-Philippe Vasseur ,  Grégory Mermoud ,  Pierre-Andre Savalle

IPC: H04L12/24 ,  H04L12/28 ,  G06N20/00

Abstract: In one embodiment, a service detects that an event of a particular event type has occurred in a software-defined wide area network (SD-WAN). The service activates, in response to detecting the occurrence of the event, a machine learning model to assess telemetry data regarding a first tunnel in the SD-WAN. The service predicts a failure of the first tunnel, based on the assessment of the telemetry data regarding the first tunnel by the machine learning model. The service proactively reroutes at least a subset of traffic on the first tunnel onto a second tunnel in the SD-WAN, in advance of the predicted failure of the first tunnel.

公开(公告)号：US10924393B2

公开(公告)日：2021-02-16

申请号：US16432038

申请日：2019-06-05

Applicant: Cisco Technology, Inc.

Inventor： Jean-Philippe Vasseur ,  Vinay Kumar Kolar ,  Grégory Mermoud ,  Pierre-Andre Savalle

IPC: H04L12/725 ,  H04L12/715 ,  H04L12/721 ,  G06N20/00 ,  H04L12/911 ,  H04L12/851 ,  H04L12/913

Abstract: In one embodiment, a device identifies a new traffic flow in a network. The device determines a service level agreement (SLA) associated with the new traffic flow. The device uses a machine learning model to predict whether a particular tunnel in the network can satisfy the determined SLA of the traffic were the traffic flow routed onto the tunnel. The device performs call admission control to route the new traffic flow onto the particular tunnel, based on a prediction that the tunnel can satisfy the determined SLA of the traffic.

公开(公告)号：US10887781B2

公开(公告)日：2021-01-05

申请号：US15880617

申请日：2018-01-26

Applicant: Cisco Technology, Inc.

Inventor： Santosh Ghanshyam Pandey ,  Jean-Philippe Vasseur ,  Vinay Kumar Kolar

IPC: H04W24/04 ,  H04W36/08 ,  G06N3/08 ,  H04L12/24 ,  H04W24/02 ,  H04W36/16 ,  H04W36/38 ,  H04W24/08

Abstract: In one embodiment, a network assurance service that monitors a wireless network identifies a set of wireless network anomalies detected in the wireless network that are associated with a set of one or more network measurements. The network assurance service classifies the set of wireless anomalies as radio-related or backend-related. The network assurance service, when the set of wireless anomalies are classified as radio-related, determines that the wireless anomalies are recurring for a particular wireless access point in the network. The network assurance service initiates a change to the wireless network in part to move clients in the wireless network from the particular wireless access point to another wireless access point in the network.

公开(公告)号：US20200382385A1

公开(公告)日：2020-12-03

申请号：US16425093

申请日：2019-05-29

Applicant: Cisco Technology, Inc.

Inventor： Jean-Philippe Vasseur ,  Grégory Mermoud ,  Pierre-Andre Savalle ,  Vinay Kumar Kolar

IPC: H04L12/24 ,  G06N20/00

Abstract: In one embodiment, a service in a network computes an expected information gain associated with rerouting traffic from a first tunnel onto a backup tunnel in the network. The service initiates, based on the expected information gain, rerouting of the traffic from the first tunnel onto the backup tunnel. The service obtains performance measurements for the traffic rerouted onto the backup tunnel. The service uses the performance measurements to train a machine learning model to predict whether rerouting traffic from the first tunnel onto the backup tunnel will satisfy a service level agreement (SLA) of the traffic.

公开(公告)号：US20200313979A1

公开(公告)日：2020-10-01

申请号：US16371556

申请日：2019-04-01

Applicant: Cisco Technology, Inc.

Inventor： Vikram Kumaran ,  Jean-Philippe Vasseur ,  Grégory Mermoud ,  Vinay Kumar Kolar

IPC: H04L12/24 ,  G06N20/00 ,  H04L12/46 ,  H04L12/707 ,  H04L12/26

Abstract: In one embodiment, a supervisory service for a software-defined wide area network (SD-WAN) detects seasonal service level agreement (SLA) violations by one or more tunnels in the SD-WAN using a machine learning-based regression model. The service identifies a root cause of the seasonal SLA violations by determining whether the root cause of the seasonal SLA violations is associated with an internal network connected to the one or more tunnels. The service further identifies the root cause by determining whether the root cause of the seasonal SLA violations is associated with a particular service provider network over which the one or more tunnels traverse by associating the seasonal SLA violations with SLA violations by tunnels in other SD-WANs that also traverse the particular service provider network. The service initiates a corrective measure based on the determined root cause of the seasonal SLA violations by the one or more tunnels.

公开(公告)号：US10701546B2

公开(公告)日：2020-06-30

申请号：US15726543

申请日：2017-10-06

Applicant: Cisco Technology, Inc.

Inventor： Vinay Kumar Kolar ,  Jean-Philippe Vasseur ,  Santosh Pandey

IPC: H04W8/08 ,  H04W64/00 ,  H04W24/02 ,  G06N5/04 ,  G06N20/00 ,  H04W16/18

Abstract: In one embodiment, a service maintains a mobility path graph that represents roaming transitions between wireless access points in a network by client devices in the network. The service associates metrics regarding roaming delays to mobility paths in the mobility path graph. The service identifies a roaming boundary change that is predicted to reduce roaming delays between two or more wireless access points in the network, in part by assessing the metrics regarding roaming delays associated with the mobility paths in the mobility path graph. The service provides an indication of the identified roaming boundary change to a user interface.

公开(公告)号：US20190306023A1

公开(公告)日：2019-10-03

申请号：US15942665

申请日：2018-04-02

Applicant: Cisco Technology, Inc.

Inventor： Jean-Philippe Vasseur ,  Vinay Kumar Kolar ,  Santosh Ghanshyam Pandey

IPC: H04L12/24 ,  G06N99/00 ,  G06N5/04 ,  H04L12/26

Abstract: In one embodiment, a network assurance service that monitors one or more networks receives data indicative of networking device configuration changes in the one or more networks. The service also receives one or more performance indicators for the one or more networks. The service trains a machine learning model based on the received data indicative of the networking device configuration changes and on the received one or more performance indicators for the one or more networks. The service predicts, using the machine learning model, a change in the one or more performance indicators that would result from a particular networking device configuration change. The service causes the particular networking device configuration change to be made in the network based on the predicted one or more performance indicators.

公开(公告)号：US10375565B2

公开(公告)日：2019-08-06

申请号：US15783342

申请日：2017-10-13

Applicant: Cisco Technology, Inc.

Inventor： Jean-Philippe Vasseur ,  Vinay Kumar Kolar ,  Santosh Pandey

IPC: H04W8/00 ,  H04W8/08 ,  H04W24/04 ,  H04W28/04

Abstract: In one embodiment, a service receives data indicative of roaming failures along mobility paths in a network. The mobility paths represent ordered series of wireless access points via which wireless clients have accessed the network over time. The service uses, based on the data indicative of the roaming failures, a machine learning-based model to associate mobility path failure metrics with portions of the mobility paths. The service identifies, for a first mobility path, an alternate mobility path that has a lower mobility path failure metric than that of the first mobility path. The service triggers a mobility path reroute for a particular client device in the network on the first mobility path to the alternate mobility path.

公开(公告)号：US20190138938A1

公开(公告)日：2019-05-09

申请号：US15803968

申请日：2017-11-06

Applicant: Cisco Technology, Inc.

Inventor： Jean-Philippe Vasseur ,  Grégory Mermoud ,  Vinay Kumar Kolar

IPC: G06N99/00 ,  H04L12/26

Abstract: In one embodiment, a service receives relevancy feedback regarding anomalies detected in a network by one or more unsupervised learning-based anomaly detectors. The service generates a set of rules based on those of the anomalies deemed relevant by the relevancy feedback. The service uses the set of rules to trigger collection of data features from the network. The service trains a supervised learning-based classifier using the data features collected from the network.