公开(公告)号：US20210345451A1

公开(公告)日：2021-11-04

申请号：US16862738

申请日：2020-04-30

Applicant: Cisco Technology, Inc.

Inventor： Shankar Ramanathan ,  M. David Hanes ,  Muhilan Natarajan ,  Gonzalo Salgueiro ,  Robert Edgar Barton ,  Jerome Henry ,  Akram Ismail Sheriff

IPC: H04W84/02 ,  H04W88/08 ,  H04W88/06 ,  H04B17/318 ,  H04B7/06 ,  G06K9/62 ,  G06N20/00 ,  G01S15/89

Abstract: In one embodiment, a supervisory service for a wireless network obtains frequency-time Doppler profile information for an endpoint node attached to a first access point in the wireless network. The supervisory service uses the frequency-time Doppler profile information for the endpoint node as input to a machine learning model. The machine learning model is trained to output an action for the endpoint node with respect to the wireless network. The supervisory service causes the action for the endpoint node with respect to the wireless network to be performed.

公开(公告)号：US11095661B2

公开(公告)日：2021-08-17

申请号：US16425520

申请日：2019-05-29

Applicant: Cisco Technology, Inc.

Inventor： Robert Edgar Barton ,  Matthew William Gillies

IPC: H04L29/06 ,  H04L29/08

Abstract: Systems, methods, and computer-readable media for enforcing data sovereignty policies in a cloud environment are provided. An example method can include sending, by a cloud provider, to a government entity associated with a geographic area, a request for device certificates for nodes located within the geographic area; receiving device certificates for the nodes; creating a data sovereignty policy specifying that data associated with the government entity must be stored on nodes located within the geographic area; based on the device certificates, verifying those of the nodes that comply with the data sovereignty policy; and storing the data associated with the government entity on those of the nodes verified to comply with the data sovereignty policy.

公开(公告)号：US20210127309A1

公开(公告)日：2021-04-29

申请号：US17142638

申请日：2021-01-06

Applicant: Cisco Technology, Inc.

Inventor： Akram Ismail Sheriff ,  Xiaoguang Jason Chen ,  Jun Liu ,  Robert Edgar Barton ,  Jerome Henry

IPC: H04W36/00 ,  H04W4/40 ,  H04W36/32 ,  H04W36/38

Abstract: In one embodiment, a device in a wireless network receives telemetry data from a plurality of autonomous vehicles. The telemetry data is indicative of radio signal quality metrics experienced by the vehicles at a particular location over time. The device forms an array of wireless roaming thresholds by applying regression to the telemetry data. The device computes an optimum roaming threshold from the array of wireless roaming thresholds to be used by the vehicles when approaching the location. The device triggers, based on the computed optimum threshold, one or more of the autonomous vehicles to initiate access point roaming when approaching the particular location.

公开(公告)号：US20210120397A1

公开(公告)日：2021-04-22

申请号：US17110036

申请日：2020-12-02

Applicant: Cisco Technology, Inc.

Inventor： Jerome Henry ,  Malcolm Muir Smith ,  Vishal Satyendra Desai ,  Robert Edgar Barton

IPC: H04W8/12 ,  H04W24/10 ,  H04W76/11 ,  H04W76/19

Abstract: A method performed by a system which manages station transition from a Wi-Fi access point includes sending, based on the station roaming to an edge-of-domain access point, a request to neighboring access points to the edge-of-domain access point for neighbor reports. The method includes receiving a cellular signal value from the station, comparing a first signal grade associated with the edge-of-domain access point to a second signal grade associated with the cellular signal value to yield a comparison and generating a link usability rating associated with a link between the station and the edge-of-domain access point. Based at least in part on the comparison and the link usability rating, the method includes transmitting a message to the station suggesting that the station roam from the edge-of-domain access point to a cellular network. An edge of the domain can also be dynamic and vary based on station characteristics.

公开(公告)号：US10965534B2

公开(公告)日：2021-03-30

申请号：US15795723

申请日：2017-10-27

Applicant: Cisco Technology, Inc.

Inventor： M. David Hanes ,  Charles Calvin Byers ,  Joseph Michael Clarke ,  Gonzalo Salgueiro ,  Jerome Henry ,  Robert Edgar Barton

IPC: G06F15/173 ,  H04L12/24 ,  H04L12/26 ,  H04L29/08

Abstract: A method includes obtaining performance characterization values from endpoints managed by a first fog node at a first hierarchical level in a hierarchy of fog nodes. The method includes changing a first operating characteristic of the wireless network based on the performance characterization values. The first operating characteristic affects the operation of one or more of the endpoints. The method includes transmitting a portion of the performance characterization values to a second fog node at a second hierarchical level in the hierarchy of fog nodes. The method includes changing a second operating characteristic of the wireless network based on an instruction from the second fog node. The second operating characteristic affects the operation of the first fog node and/or other fog nodes at the first hierarchical level. Changing one or more of the first operating characteristic and the second operating characteristic satisfies an operating threshold for the wireless network.

公开(公告)号：US20200293942A1

公开(公告)日：2020-09-17

申请号：US16298881

申请日：2019-03-11

Applicant: Cisco Technology, Inc.

Inventor： Robert Edgar Barton ,  Jerome Henry ,  Abhishek Kumar

IPC: G06N20/00

Abstract: The disclosed technology relates to a process for metered training of fog nodes within the fog layer. The metered training allows the fog nodes to be continually trained within the fog layer without the need for the cloud. Furthermore, the metered training allows the fog node to operate normally as the training is performed only when spare resources are available at the fog node. The disclosed technology also relates to a process of sharing better trained machine learning models of a fog node with other similar fog nodes thereby speeding up the training process for other fog nodes within the fog layer.

公开(公告)号：US20200162889A1

公开(公告)日：2020-05-21

申请号：US16447454

申请日：2019-06-20

Applicant: Cisco Technology, Inc.

Inventor： Vishal Satyendra Desai ,  Jerome Henry ,  Robert Edgar Barton

IPC: H04W8/12 ,  H04W8/24 ,  H04W40/24 ,  H04B17/318 ,  H04W72/04

Abstract: The present disclosure is related to dynamic methods of managing roaming of client devices at boundaries of area serviced by access points. In one aspect, a method includes estimating by a controller, first signal information of a signal transmitted by an access point and received at a client device, the first signal information being from the perspective of the access point, the client device operating at a boundary of an area serviced by the access point; determining, by the controller, second signal information for the signal, the second signal information being from the perspective of the client device; and performing, by the controller, roaming management of the client device based on the first signal information and the second signal information.

公开(公告)号：US20190297017A1

公开(公告)日：2019-09-26

申请号：US15934247

申请日：2018-03-23

Applicant: Cisco Technology, Inc.

Inventor： Carlos M. Pignataro ,  Prashanth Patil ,  Nagendra Kumar Nainar ,  Robert Edgar Barton ,  Jerome Henry ,  Muthurajah Sivabalan

IPC: H04L12/803 ,  H04L12/801 ,  H04L12/26 ,  H04L29/06

Abstract: In one example embodiment, a first path computation element of a first segment routing domain includes a plurality of path computation clients. The first path computation element obtains, from at least one path computation client of the plurality of path computation clients, telemetry data indicating network traffic congestion for the at least one path computation client. Based on the telemetry data, the first path computation element determines that the at least one path computation client is experiencing at least a predetermined amount of network traffic congestion. In response to determining that the at least one path computation client is experiencing at least the predetermined amount of network traffic congestion, the first path computation element sends, to a second path computation element of a second segment routing domain, an indication of the network traffic congestion for the at least one path computation client.

公开(公告)号：US10321344B2

公开(公告)日：2019-06-11

申请号：US15596715

申请日：2017-05-16

Applicant: CISCO TECHNOLOGY, INC.

Inventor： Robert Edgar Barton ,  Jerome Henry ,  Gerard Ian McGarry ,  Stephen M. Orr ,  Santosh Pandey

IPC: H04W24/08 ,  H04B17/391 ,  H04W84/12

Abstract: An example method is provided in one example embodiment and may include gathering current wireless local area network (WLAN) data for a WLAN, wherein the WLAN data comprises network data, Radio Frequency (RF) data, and transmission data for a plurality of user equipment (UE) operating within the WLAN; generating a plurality of color maps; merging the plurality of color maps to generate a combined color map; and calculating a predicted application score for at least one UE operating within the WLAN based, at least in part, on application of the combined color map to a trained statistical model that represents linking relationships between the WLAN data gathered for the WLAN and a plurality of possible application scores for the plurality of UE. The plurality of color maps can include an RF color map, a transmission color map, and a Quality of Service color map.

公开(公告)号：US20250112832A1

公开(公告)日：2025-04-03

申请号：US18477476

申请日：2023-09-28

Applicant: Cisco Technology, Inc.

Inventor： Robert Edgar Barton ,  Frank Brockners ,  Jerome Henry ,  Matthias Falkner ,  Indermeet Singh Gandhi ,  Thomas Michel-Ange Feltin

IPC: H04L41/16 ,  H04L45/74 ,  H04L67/1008

Abstract: Novel techniques and mechanisms enable processing of heavy deep learning workloads on standard edge network devices to optimize the overall inference throughput of the network while meeting Service Level Agreement(s) (SLAs). The techniques can include receiving a deep learning model, determining a graph structure of the deep learning model including neurons organized in layers (the layers including an input layer, a plurality of hidden layers, and an output layer), assigning to a first IP subnet, at least a part of a first hidden layer of the plurality of hidden layers, assigning to a second IP subnet, at least a part of a second hidden layer of the plurality of hidden layers, and deploying the parts of the first and second hidden layers to edge devices as containerized applications with assigned IP addresses, which may be hidden from the user and/or third party application.