公开(公告)号：US20200259740A1

公开(公告)日：2020-08-13

申请号：US16274567

申请日：2019-02-13

Applicant: Cisco Technology, Inc.

Inventor： Patrick Wetterwald ,  Pascal Thubert ,  Jean-Philippe Vasseur ,  Eric Levy-Abegnoli ,  Stephane Labetoulle

IPC: H04L12/721 ,  H04L12/725 ,  H04L12/801 ,  H04L12/911 ,  H04L12/26 ,  G06F9/455

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.

公开(公告)号：US11381518B2

公开(公告)日：2022-07-05

申请号：US17002003

申请日：2020-08-25

Applicant: Cisco Technology, Inc.

Inventor： Patrick Wetterwald ,  Pascal Thubert ,  Jean-Philippe Vasseur ,  Eric Levy-Abegnoli ,  Stephane Labetoulle

IPC: H04L47/83 ,  H04L47/127 ,  G06N20/00 ,  G06N5/04 ,  H04L47/70

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.

公开(公告)号：US10805211B2

公开(公告)日：2020-10-13

申请号：US16274567

申请日：2019-02-13

Applicant: Cisco Technology, Inc.

Inventor： Patrick Wetterwald ,  Pascal Thubert ,  Jean-Philippe Vasseur ,  Eric Levy-Abegnoli ,  Stephane Labetoulle

IPC: H04L12/721 ,  H04L12/725 ,  H04L12/801 ,  H04L12/26 ,  G06F9/455 ,  H04L12/911

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.

公开(公告)号：US10033436B2

公开(公告)日：2018-07-24

申请号：US15245800

申请日：2016-08-24

Applicant: Cisco Technology, Inc.

Inventor： Pascal Thubert ,  Patrick Wetterwald ,  Eric Levy-Abegnoli ,  Stephane Labetoulle

IPC: H04B5/00 ,  H04L12/26 ,  H04W52/24

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.

公开(公告)号：US20180063797A1

公开(公告)日：2018-03-01

申请号：US15245800

申请日：2016-08-24

Applicant: Cisco Technology, Inc.

Inventor： Pascal Thubert ,  Patrick Wetterwald ,  Eric Levy-Abegnoli ,  Stephane Labetoulle

IPC: H04W52/26 ,  H04L12/26 ,  H04H20/42

CPC classification number: H04B5/0037 ,  H04L43/16 ,  H04W52/245

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.