Patents by Inventor Jean Philippe Vasseur

Jean Philippe Vasseur has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Replacing static routing metrics with probabilistic models
    Patent number: 11533252
    Abstract: In one embodiment, a device obtains a predictive model that predicts a behavior of a path in a network. The device computes, based in part on the predictive model, a route in the network that includes the path, in accordance with a routing policy that instructs the device to use the predictive model as an attribute of the path during computation of the route. The device validates that the path exhibited the behavior predicted by the predictive model. The device initiates retraining of the predictive model, when the behavior predicted by the predictive model does not match the behavior of the path.
    Type: Grant
    Filed: February 22, 2021
    Date of Patent: December 20, 2022
    Assignee: Cisco Technology, Inc.
    Inventor: Jean-Philippe Vasseur
  • Probe fusion for application-driven routing
    Patent number: 11528218
    Abstract: In one embodiment, a device identifies a set of probes configured between a first endpoint and a second endpoint serving an online application. Each probe has one or more characteristics and is associated with a different segment between the endpoints. The device selects a subset of the set whose associated segments are along a plurality of paths between the endpoints, based on a match between the online application and the one or more characteristics of probes in the set of probes. The device approximates a performance metric for each of the plurality of paths by aggregating performance metrics measured by probes in the subset of probes that are associated with segments of that path. The device causes traffic to be routed between the endpoints via a particular path in the plurality of paths, based on the performance metric of the particular path.
    Type: Grant
    Filed: March 1, 2021
    Date of Patent: December 13, 2022
    Assignee: Cisco Technology, Inc.
    Inventors: Vinay Kumar Kolar, Jean-Philippe Vasseur, Grégory Mermoud, Pierre-André Savalle
  • Active labeling of unknown devices in a network
    Patent number: 11528231
    Abstract: In one embodiment, a labeling service receives telemetry data for a cluster of endpoint devices in a first network environment. The endpoint devices in the cluster are clustered by a device classification service based on their telemetry data and labeled by a device type classifier of the device classification service as being of an unknown device type. The labeling service obtains a first device type label for the cluster of endpoint devices via a first user interface. The labeling service identifies one or more other network environments in which endpoint devices are located that have similar telemetry data as that of the cluster of endpoint devices. The labeling service obtains device type labels for the cluster of endpoint devices via a selected set of user interfaces from the identified one or more other network environments.
    Type: Grant
    Filed: November 19, 2018
    Date of Patent: December 13, 2022
    Assignee: Cisco Technology, Inc.
    Inventors: Jean-Philippe Vasseur, Grégory Mermoud, Pierre-André Savalle
  • Path metric oscillation analysis with SLA threshold adjustment
    Patent number: 11522787
    Abstract: In one embodiment, a device detects oscillations in a path metric for a network path between violating a service level agreement for an online application and not violating the service level agreement for the online application. The device classifies the oscillations as near-boundary or wild, based on degrees to which the path metric violated a threshold of the service level agreement. The device provides data regarding the oscillations to a user interface that includes an indication as to whether the oscillations are near-boundary or wild. The device adjusts the threshold of the service level agreement based in part on feedback from the user interface, when the oscillations are near-boundary.
    Type: Grant
    Filed: November 30, 2021
    Date of Patent: December 6, 2022
    Assignee: Cisco Technology, Inc.
    Inventors: Vinay Kumar Kolar, Jean-Philippe Vasseur
  • ESTIMATING THE EFFICACY OF PREDICTIVE ROUTING FOR PROSPECTIVE DEPLOYMENTS
    Publication number: 20220385569
    Abstract: In one embodiment, a device obtains metadata for routing decisions made by a predictive routing service for a plurality of network deployments. The device identifies a network topology for a network deployment that does not use the predictive routing service. The device estimates, based on the metadata for routing decisions made by the predictive routing service, performance metrics for the predictive routing service were it to be used to make routing decisions for the network topology. The device sends, to a user interface, report data indicative of the performance metrics estimated for the predictive routing service were it to be used to make routing decisions for the network topology.
    Type: Application
    Filed: May 27, 2021
    Publication date: December 1, 2022
    Inventors: Vinay Kumar Kolar, Jean-Philippe Vasseur, Grégory Mermoud, Pierre-André Savalle
  • Extraction of prototypical trajectories for automatic classification of network KPI predictions
    Patent number: 11514084
    Abstract: In one embodiment, a service divides one or more time series for a network key performance (KPI) into a plurality of time series chunks. The service clusters the plurality of time series chunks into a plurality of clusters. The service identifies a sketch that represents a particular one of the clusters. The service associates a label with the identified sketch. The service applies the label to a new KPI time series by matching the sketch to the new KPI time series.
    Type: Grant
    Filed: March 19, 2020
    Date of Patent: November 29, 2022
    Assignee: Cisco Technology, Inc.
    Inventors: Pierre-André Savalle, Jean-Philippe Vasseur, Grégory Mermoud, Vinay Kumar Kolar
  • AUTONOMOUS SYSTEM BOTTLENECK DETECTION
    Publication number: 20220376998
    Abstract: In one embodiment, a supervisory service for a network obtains quality of experience metrics for application sessions of an online application. The supervisory service maps the application sessions to paths that traverse a plurality of autonomous systems. The supervisory service identifies, based in part on the quality of experience metrics, a particular autonomous system from the plurality of autonomous systems associated with a decreased quality of experience for the online application. The supervisory service causes application traffic for the online application to avoid the particular autonomous system.
    Type: Application
    Filed: May 24, 2021
    Publication date: November 24, 2022
    Inventors: Jean-Philippe VASSEUR, Vinay Kumar KOLAR, Grégory MERMOUD, Pierre-André SAVALLE
  • SAFETY NET ENGINE FOR MACHINE LEARNING-BASED NETWORK AUTOMATION
    Publication number: 20220377005
    Abstract: In one embodiment, a device obtains data regarding routing decisions made by a machine learning-based predictive routing engine for a network. The device determines, based on the data regarding the routing decisions, a behavior of the machine learning-based predictive routing engine. The device compares the behavior of the machine learning-based predictive routing engine to a behavioral policy for the machine learning-based predictive routing engine. The device adjusts operation of the machine learning-based predictive routing engine, when the behavior of the machine learning-based predictive routing engine violates the behavioral policy.
    Type: Application
    Filed: May 24, 2021
    Publication date: November 24, 2022
    Inventors: Jean-Philippe Vasseur, Vinay Kumar KOLAR, Grégory MERMOUD, Pierre-André SAVALLE
  • Model interpretability using proxy features
    Patent number: 11507887
    Abstract: In one embodiment, a service identifies a set of attributes associated with a first machine learning model trained to make an inference about a computer network. The service obtains labels for each of the set of attributes, each label indicating whether its corresponding attribute is a probable cause of the inference. The service maps input features of the first machine learning model to those attributes in the set of attributes that were labeled as probable causes of the inference. The service generates a second machine learning model in part by using the mapped attributes to form a set of input features for the second machine learning model, whereby the input features of the first machine learning model and the input features of the second machine learning model differ.
    Type: Grant
    Filed: March 27, 2020
    Date of Patent: November 22, 2022
    Assignee: Cisco Technology, Inc.
    Inventors: Vinay Kumar Kolar, Jean-Philippe Vasseur, Pierre-André Savalle, Grégory Mermoud
  • PREDICTIVE SECURE ACCESS SERVICE EDGE
    Publication number: 20220360567
    Abstract: In one embodiment, a device obtains telemetry data that results from an edge router sending probes to a cloud-hosted application via a plurality of points of presence. The device makes, based on the telemetry data, predictions as to whether use of each of the plurality of points of presence by the edge router to access the cloud-hosted application will result in a violation of a service level agreement. The device selects, based on the predictions, a particular point of presence from among the plurality of points of presence that the edge router should use to access the cloud-hosted application during a time window. The device causes the edge router to access the cloud-hosted application via the particular point of presence during the time window.
    Type: Application
    Filed: May 5, 2021
    Publication date: November 10, 2022
    Inventors: Jean-Philippe VASSEUR, Grégory MERMOUD, Vinay Kumar KOLAR, Pierre-André SAVALLE
  • PREDICTING THE IMPACT OF NETWORK SOFTWARE UPGRADES ON MACHINE LEARNING MODEL PERFORMANCE
    Publication number: 20220357943
    Abstract: In one embodiment, a service receives software version data regarding versions of software executed by devices in a network. The service detects a version change in the version of software executed by one or more of the devices, based on the received software version data. The service makes a determination that a drop in data quality of input data for a machine learning model used to monitor the network is associated with the detected version change. The service reverts the one or more devices to a prior version of software, based on the determination that the drop in quality of the input data for the machine learning model used to monitor the network is associated with the detected version change.
    Type: Application
    Filed: July 27, 2022
    Publication date: November 10, 2022
    Inventors: Vinay Kumar Kolar, Jean-Philippe Vasseur, Grégory Mermoud, Pierre-André Savalle
  • ADAPTIVE STRESS TESTING OF SD-WAN TUNNELS FOR WHAT-IF SCENARIO MODEL TRAINING
    Publication number: 20220360502
    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.
    Type: Application
    Filed: July 26, 2022
    Publication date: November 10, 2022
    Inventors: Jean-Philippe Vasseur, Grégory Mermoud, Pierre-André Savalle, Vinay Kumar Kolar
  • Service provider selection for application-driven routing
    Patent number: 11496556
    Abstract: In one embodiment, a device receives application experience metrics for a software-as-a-service application. The device generates, based on the application experience metrics, a predictive model that predicts application experience scores for a plurality of network service providers that provide connectivity to the software-as-a-service application. The device selects a particular network service provider for use by a location, based on an application experience score predicted by the predictive model. The device sends an indication of the particular network service provider to the location.
    Type: Grant
    Filed: April 26, 2021
    Date of Patent: November 8, 2022
    Assignee: Cisco Technology, Inc.
    Inventors: Vinay Kumar Kolar, Jean-Philippe Vasseur, Grégory Mermoud, Pierre-André Savalle
  • ANOMALY DETECTION OF MODEL PERFORMANCE IN AN MLOPS PLATFORM
    Publication number: 20220353166
    Abstract: In one embodiment, a service tracks performance of a machine learning model over time. The machine learning model is used to monitor one or more computer networks based on data collected from the one or more computer networks. The service also tracks performance metrics associated with training of the machine learning model. The service determines that a degradation of the performance of the machine learning model is anomalous, based on the tracked performance of the machine learning model and performance metrics associated with training of the model. The service initiates a corrective measure for the degradation of the performance, in response to determining that the degradation of the performance is anomalous.
    Type: Application
    Filed: March 16, 2022
    Publication date: November 3, 2022
    Inventors: Vinay Kumar Kolar, Jean-Philippe Vasseur, Grégory Mermoud, Pierre-André Savalle
  • QOS CONFIGURATION UPDATE BASED ON BEHAVIORAL APPLICATION CORRELATION
    Publication number: 20220353181
    Abstract: In one embodiment, a device obtains behavioral metrics for application traffic in a network for a plurality of applications. The device identifies a first application and a second application from among the plurality of applications as fate sharing applications, based on a correlation between the behavioral metrics for their application traffic. The device generates a configuration change for the network that would prevent the first application and the second application from being fate sharing applications, when application traffic for the first application negatively affects the behavioral metrics for the application traffic of the second application. The device causes the configuration change to be implemented in the network.
    Type: Application
    Filed: April 28, 2021
    Publication date: November 3, 2022
    Inventors: Jean-Philippe Vasseur, Grégory MERMOUD, Vinay Kumar KOLAR, Pierre-André SAVALLE
  • HIERARCHICAL MODELS USING SELF ORGANIZING LEARNING TOPOLOGIES
    Publication number: 20220353285
    Abstract: In one embodiment, a device obtains characteristics of a first anomaly detection model executed by a first distributed learning agent in a network. The device receives a query from a second distributed learning agent in the network that requests identification of a similar anomaly detection to that of a second anomaly detection model executed by the second distributed learning agent. The device identifies, after receiving the query from the second distributed learning agent, the first anomaly detection model as being similar to that of the second anomaly detection model, based on the characteristics of the first anomaly detection model. The device causes the first anomaly detection model to be sent to the second distributed learning agent for execution.
    Type: Application
    Filed: February 22, 2022
    Publication date: November 3, 2022
    Inventors: Pierre-André Savalle, Grégory Mermoud, Laurent Sartran, Jean-Philippe Vasseur
  • SERVICE PROVIDER SELECTION FOR APPLICATION-DRIVEN ROUTING
    Publication number: 20220345522
    Abstract: In one embodiment, a device receives application experience metrics for a software-as-a-service application. The device generates, based on the application experience metrics, a predictive model that predicts application experience scores for a plurality of network service providers that provide connectivity to the software-as-a-service application. The device selects a particular network service provider for use by a location, based on an application experience score predicted by the predictive model. The device sends an indication of the particular network service provider to the location.
    Type: Application
    Filed: April 26, 2021
    Publication date: October 27, 2022
    Inventors: Vinay Kumar KOLAR, Jean-Philippe VASSEUR, Grégory MERMOUD, Pierre-André SAVALLE
  • PROGRESSIVE AUTOMATION WITH PREDICTIVE APPLICATION NETWORK ANALYTICS
    Publication number: 20220345394
    Abstract: In one embodiment, a device uses a classification model to determine whether implementation of a routing change suggested by a predictive routing engine for a network will result in a violation of one or more network policies. The device computes a trust score, based on performance metrics for the classification model. The device causes, based in part on the trust score, implementation of the routing change in the network, when the classification model determines that application of the routing change will not result in a violation of the one or more network policies.
    Type: Application
    Filed: April 23, 2021
    Publication date: October 27, 2022
    Inventors: Jean-Philippe Vasseur, Grégory Mermoud, Vinay Kumar Kolar, Pierre-André Savalle
  • Predictive routing-based policy adjustments in software-defined networks
    Patent number: 11483234
    Abstract: In one embodiment, a device obtains routing forecasts for a software defined network. The device splits a particular routing policy for the software defined network into two or more routing policies, based on the routing forecasts. The device makes an evaluation as to whether the two or more routing policies should be reverted back into the particular routing policy. The device sends, to a user interface, data indicative of the particular routing policy that was split into the two or more routing policies and the evaluation as to whether the two or more routing policies should be reverted back into the particular routing policy.
    Type: Grant
    Filed: March 3, 2021
    Date of Patent: October 25, 2022
    Assignee: Cisco Technology, Inc.
    Inventors: Grégory Mermoud, Jean-Philippe Vasseur, Pierre-André Savalle, Vinay Kumar Kolar
  • Learning robust and accurate rules for device classification from clusters of devices
    Patent number: 11483207
    Abstract: In various embodiments, a device classification service obtains traffic telemetry data for a plurality of devices in a network. The service applies clustering to the traffic telemetry data, to form device clusters. The service generates a device classification rule based on a particular one of the device clusters. The service receives feedback from a user interface regarding the device classification rule. The service adjusts the device classification rule based on the received feedback.
    Type: Grant
    Filed: October 29, 2021
    Date of Patent: October 25, 2022
    Assignee: Cisco Technology, Inc.
    Inventors: David Tedaldi, Grégory Mermoud, Pierre-André Savalle, Jean-Philippe Vasseur