Patents by Inventor Stephane Labetoulle

Stephane Labetoulle 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).

  • Forecasting SDN fabric saturation and machine learning-based flow admission control
    Patent number: 11381518
    Abstract: In one embodiment, a device of a software defined wide area network (SD-WAN) predicts characteristics of a new traffic flow to be admitted to the SD-WAN, based on a set of initial packets of the flow. The device predicts an impact of admitting the flow to the SD-WAN, based in part on extrinsic or exogenous data regarding the SD-WAN. The device admits the flow to the SD-WAN, based on the predicted impact. The supervisory device uses reinforcement learning to adjust one or more call admission control (CAC) parameters of the SD-WAN, based on captured telemetry data regarding the admitted flow.
    Type: Grant
    Filed: August 25, 2020
    Date of Patent: July 5, 2022
    Assignee: Cisco Technology, Inc.
    Inventors: Patrick Wetterwald, Pascal Thubert, Jean-Philippe Vasseur, Eric Levy-Abegnoli, Stephane Labetoulle
  • FORECASTING SDN FABRIC SATURATION AND MACHINE LEARNING-BASED FLOW ADMISSION CONTROL
    Publication number: 20200389417
    Abstract: In one embodiment, a device of a software defined wide area network (SD-WAN) predicts characteristics of a new traffic flow to be admitted to the SD-WAN, based on a set of initial packets of the flow. The device predicts an impact of admitting the flow to the SD-WAN, based in part on extrinsic or exogenous data regarding the SD-WAN. The device admits the flow to the SD-WAN, based on the predicted impact. The supervisory device uses reinforcement learning to adjust one or more call admission control (CAC) parameters of the SD-WAN, based on captured telemetry data regarding the admitted flow.
    Type: Application
    Filed: August 25, 2020
    Publication date: December 10, 2020
    Inventors: Patrick Wetterwald, Pascal Thubert, Jean-Philippe Vasseur, Eric Levy-Abegnoli, Stephane Labetoulle
  • Forecasting SDN fabric saturation and machine learning-based flow admission control
    Patent number: 10805211
    Abstract: In one embodiment, a supervisory device for a software defined networking (SDN) fabric predicts characteristics of a new traffic flow to be admitted to the fabric, based on a set of initial packets of the flow. The supervisory device predicts an impact of admitting the flow to the SDN fabric, using a heatmap-based saturation model for the SDN fabric. The supervisory device admits the flow to the SDN fabric, based on the predicted impact. The supervisory device uses reinforcement learning to adjust one or more call admission control (CAC) parameters of the SDN fabric, based on captured telemetry data regarding the admitted flow.
    Type: Grant
    Filed: February 13, 2019
    Date of Patent: October 13, 2020
    Assignee: Cisco Technology, Inc.
    Inventors: Patrick Wetterwald, Pascal Thubert, Jean-Philippe Vasseur, Eric Levy-Abegnoli, Stephane Labetoulle
  • FORECASTING SDN FABRIC SATURATION AND MACHINE LEARNING-BASED FLOW ADMISSION CONTROL
    Publication number: 20200259740
    Abstract: In one embodiment, a supervisory device for a software defined networking (SDN) fabric predicts characteristics of a new traffic flow to be admitted to the fabric, based on a set of initial packets of the flow. The supervisory device predicts an impact of admitting the flow to the SDN fabric, using a heatmap-based saturation model for the SDN fabric. The supervisory device admits the flow to the SDN fabric, based on the predicted impact. The supervisory device uses reinforcement learning to adjust one or more call admission control (CAC) parameters of the SDN fabric, based on captured telemetry data regarding the admitted flow.
    Type: Application
    Filed: February 13, 2019
    Publication date: August 13, 2020
    Inventors: Patrick Wetterwald, Pascal Thubert, Jean-Philippe Vasseur, Eric Levy-Abegnoli, Stephane Labetoulle
  • Power over wireless energy recharge (POWER)
    Patent number: 10033436
    Abstract: In one embodiment, a device in a wireless network receives a request from a node in the network requesting electrical power. The device determines one or more power transmission parameters for the node. The device determines a power transmission schedule for the node. The device sends wireless network communications to the node in response to the request and based on the determined one or more power transmission parameters and transmission schedule for the node. The node converts the wireless network communications into stored electrical power.
    Type: Grant
    Filed: August 24, 2016
    Date of Patent: July 24, 2018
    Assignee: Cisco Technology, Inc.
    Inventors: Pascal Thubert, Patrick Wetterwald, Eric Levy-Abegnoli, Stephane Labetoulle
  • POWER OVER WIRELESS ENERGY RECHARGE (POWER)
    Publication number: 20180063797
    Abstract: In one embodiment, a device in a wireless network receives a request from a node in the network requesting electrical power. The device determines one or more power transmission parameters for the node. The device determines a power transmission schedule for the node. The device sends wireless network communications to the node in response to the request and based on the determined one or more power transmission parameters and transmission schedule for the node. The node converts the wireless network communications into stored electrical power.
    Type: Application
    Filed: August 24, 2016
    Publication date: March 1, 2018
    Inventors: Pascal Thubert, Patrick Wetterwald, Eric Levy-Abegnoli, Stephane Labetoulle