公开(公告)号：US20250148291A1

公开(公告)日：2025-05-08

申请号：US18388010

申请日：2023-11-08

Applicant: Cisco Technology, Inc.

Inventor： Grégory Mermoud ,  Pierre-André SAVALLE ,  Eduard SCHORNIG ,  Jean-Philippe VASSEUR

IPC: G06N3/092

Abstract: In one implementation, a device may determine how well a large language model-based troubleshooting agent for a network was able to perform during a first test having a first difficulty. The device may update the large language model-based troubleshooting agent using reinforcement learning based on how well the large language model-based troubleshooting agent was able to perform during the first test. The device may select a second difficulty for a second test based on how well the large language model-based troubleshooting agent was able to perform during the first test. The device may initiate the second test to assess how well the large language model-based troubleshooting agent is able to perform.

公开(公告)号：US20250119354A1

公开(公告)日：2025-04-10

申请号：US18376625

申请日：2023-10-04

Applicant: Cisco Technology, Inc.

Inventor： Jean-Philippe Vasseur ,  Mukund Yelahanka Raghuprasad ,  Grégory Mermoud

IPC: H04L41/12 ,  H04L41/084 ,  H04L41/14 ,  H04L41/147 ,  H04L41/149

Abstract: In one implementation, a device obtains a natural language-based description of a network via a user interface. The device generates, based on the natural language-based description, network configuration parameters for the network using a generative model. The device conducts a simulation of traffic in the network using the network configuration parameters, to obtain telemetry data. The device uses the telemetry data to train a machine learning model to perform network analytics.

公开(公告)号：US20240406081A1

公开(公告)日：2024-12-05

申请号：US18205063

申请日：2023-06-02

Applicant: Cisco Technology, Inc.

Inventor： Grégory Mermoud ,  Jean-Philippe Vasseur ,  Pierre-André Savalle ,  Eduard Schornig ,  Michal Wladyslaw Garcarz

IPC: H04L41/5074 ,  H04L41/16 ,  H04L41/5067

Abstract: In one embodiment, a device receives, at a first large language model executed by a device, textual input from a user of a network regarding a networking issue in the network. The device issues, by the first large language model and to a second large language model, one or more questions regarding the network based on the textual input. The device receives, at the first large language model and from the second large language model, one or more answers to the one or more questions. The device generates, by the first large language model, a textual response to the textual input for presentation to the user.

公开(公告)号：US12015518B2

公开(公告)日：2024-06-18

申请号：US17979341

申请日：2022-11-02

Applicant: Cisco Technology, Inc.

Inventor： Sambarta Dasgupta ,  Grégory Mermoud ,  Jean-Philippe Vasseur ,  Mukund Yelahanka Raghuprasad

IPC: H04L41/0631 ,  H04L41/0677 ,  H04L43/08

CPC classification number: H04L41/064 ,  H04L41/0677 ,  H04L43/08

Abstract: In one embodiment, a device identifies a timeseries motif present in a plurality of timeseries of performance metrics for a plurality of paths in a network. The device retrieves, based on the timeseries motif, device-level telemetry data from networking devices along the plurality of paths. The device determines a root cause of the timeseries motif by correlating the timeseries motif with the device-level telemetry data. The device provides an indication of the timeseries motif and its root cause for display by a user interface.

公开(公告)号：US11916777B2

公开(公告)日：2024-02-27

申请号：US17368165

申请日：2021-07-06

Applicant: Cisco Technology, Inc.

Inventor： Jean-Philippe Vasseur ,  Grégory Mermoud ,  Vinay Kumar Kolar ,  David Tedaldi ,  Pierre-André Savalle

IPC: H04L45/00 ,  H04L43/10 ,  H04L43/0829 ,  H04L43/087 ,  H04L43/0888 ,  H04L43/12

CPC classification number: H04L45/22 ,  H04L43/087 ,  H04L43/0829 ,  H04L43/0888 ,  H04L43/10 ,  H04L43/12

Abstract: In one embodiment, a device obtains a first set of measurements of a path metric for a path in a network that are measured using periodic probing of the path. The device obtains a second set of measurements of the path metric for the path that are measured using fine-grained probing of the path at a higher frequency than that of the periodic probing. The device generates a predictive model that predicts values of the path metric, based on the first set of measurements and on the second set of measurements. The device causes, based on a value of the path metric predicted by the predictive model, traffic to be rerouted from the path to another path in the network.

公开(公告)号：US11916752B2

公开(公告)日：2024-02-27

申请号：US17368110

申请日：2021-07-06

Applicant: Cisco Technology, Inc.

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

IPC: H04L41/147 ,  H04L41/5009 ,  H04L41/5025 ,  H04L41/5067

CPC classification number: H04L41/147 ,  H04L41/5012 ,  H04L41/5025 ,  H04L41/5067

Abstract: In one embodiment, a device obtains an indication of a network event predicted by a routing engine for a network. The device initiates monitoring of one or more network paths associated with the network event, to determine one or more states of the network. The device makes a comparison between the one or more states of the network and a set of one or more constraints. The device provides a prediction cancelation notification to the routing engine, based on the comparison.

公开(公告)号：US11909803B1

公开(公告)日：2024-02-20

申请号：US18205071

申请日：2023-06-02

Applicant: Cisco Technology, Inc.

Inventor： Mukund Yelahanka Raghuprasad ,  Grégory Mermoud ,  Jean-Philippe Vasseur

IPC: H04L65/80 ,  H04L65/403 ,  H04L41/5067 ,  H04L41/16 ,  H04L67/75

CPC classification number: H04L65/80 ,  H04L41/16 ,  H04L41/5067 ,  H04L65/403 ,  H04L67/75

Abstract: In one embodiment, a device may identify a plurality of impairment scenarios for a network. The device may estimate quality of experience metrics for a plurality of applications accessible via the network for each of the plurality of impairment scenarios. The device may select a particular application from among the plurality of applications based on a comparison between the quality of experience metrics for the plurality of applications. The device may provide an indication for presentation by a user interface that a user should use the particular application from among the plurality of applications.

公开(公告)号：US11893456B2

公开(公告)日：2024-02-06

申请号：US16434274

申请日：2019-06-07

Applicant: Cisco Technology, Inc.

Inventor： David Tedaldi ,  Pierre-Andre Savalle ,  Sharon Shoshana Wulff ,  Jean-Philippe Vasseur ,  Grégory Mermoud

IPC: G06N20/00 ,  H04L41/0893 ,  G06F18/23 ,  G06F18/241

CPC classification number: G06N20/00 ,  G06F18/23 ,  G06F18/241 ,  H04L41/0893

Abstract: In one embodiment, a device classification service receives telemetry data indicative of behavioral characteristics of a plurality of devices in a network. The service obtains side information for the telemetry data. The service applies metric learning to the telemetry data and side information, to construct a distance function. The service uses the distance function to cluster the telemetry data into device clusters. The service associates a device type label with a particular device cluster.

公开(公告)号：US11856425B2

公开(公告)日：2023-12-26

申请号：US17152917

申请日：2021-01-20

Applicant: Cisco Technology, Inc.

Inventor： Javier Cruz Mota ,  Jean-Philippe Vasseur ,  Pierre-André Savalle ,  Grégory Mermoud

IPC: H04W24/08 ,  H04W24/02 ,  H04W88/08

CPC classification number: H04W24/08 ,  H04W24/02 ,  H04W88/08

Abstract: In one embodiment, a device receives observed access point (AP) features of one or more APs in a monitored network. The device clusters the observed AP features within a latent space to form AP feature clusters. The device applies labels to the AP feature clusters within the latent space. The device uses the applied labels to the AP feature clusters to describe future behaviors of the one or more APs in the monitored network.

公开(公告)号：US11616712B2

公开(公告)日：2023-03-28

申请号：US17330720

申请日：2021-05-26

Applicant: Cisco Technology, Inc.

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

IPC: H04L43/103 ,  H04L41/0654 ,  H04L41/0631 ,  H04L43/0823

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.