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公开(公告)号：US10382973B1
公开(公告)日：2019-08-13
申请号：US16119333
申请日：2018-08-31
Applicant: Cisco Technology, Inc.
Inventor： John George Apostolopoulos , Dan Tan , Mehdi Nikkhah , Xiaoqing Zhu , Herbert Wildfeuer , Rob Liston
Abstract: In one embodiment, a device determines locations of a plurality of transmitters relative to a particular wireless access point in a wireless network. One of the transmitters comprises a target client to which the particular wireless access point is to communicate. The device compares a plurality of beamforming patterns associated with the particular wireless access point to the determined locations. The device selects, based on the comparison, one of the beamforming patterns for use by the particular wireless access point to communicate with the target client. The device controls the particular wireless access point to use the selected beamforming pattern to communicate with the target client.
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公开(公告)号：US20180343177A1
公开(公告)日：2018-11-29
申请号：US15602928
申请日：2017-05-23
Applicant: Cisco Technology, Inc.
Inventor： Mahyar Fazlyab , Mehdi Nikkhah , Mark Allen Webb
IPC: H04L12/26 , H04L12/721
Abstract: A network computing device determines a network topology for at least one network flow path between at least one ingress network border device and at least one egress network border device. The network computing device receives a message containing data indicating flow statistics for the at least one ingress network border device. The network computing device generates flow statistics for at least one network device along the at least one network flow path from the network topology and the flow statistics for the at least one ingress network border device. The network computing device generates the flow statistics for at least one network device along the at least one network flow path without receiving flow statistics from the at least one network device along the at least one network flow path.
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3.发明授权公开(公告)号：US10145962B1
公开(公告)日：2018-12-04
申请号：US15726553
申请日：2017-10-06
Applicant: Cisco Technology, Inc.
Inventor： Mehdi Nikkhah , Rob Liston , Wai-tan Tan , Xiaoqing Zhu , Santosh G. Pandey
Abstract: A methodology includes receiving from a first mobile device a first estimated location of the first mobile device and a first estimated error associated with the first estimated location, the first estimated location being based on first coarse data from a first wireless access point location determination system fused with inertial measurement unit (IMU) data from the first mobile device, receiving from a second mobile device a second estimated location of the second mobile device and a second estimated error associated with the second estimated location, the second estimated location being based on second coarse data from the first wireless access point location determination system fused with IMU data from the second mobile device, and based on the first estimated error and the second estimated error, determining a recommended change to a deployment of a wireless access point associated with the first wireless access point location determination system.
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公开(公告)号：US11699080B2
公开(公告)日：2023-07-11
申请号：US16131150
申请日：2018-09-14
Applicant: Cisco Technology, Inc.
Inventor： Xiaoqing Zhu , Yaqi Wang , Dan Tan , Rob Liston , Mehdi Nikkhah
IPC: G06N20/00 , G06N20/10 , G06N3/088 , G06N3/045 , G06N5/01 , G06F18/214 , H04Q9/00 , G06F9/48 , G06F18/25
CPC classification number: G06F18/2155 , G06F9/48 , G06F18/253 , G06N3/045 , G06N3/088 , G06N5/01 , G06N20/00 , G06N20/10 , H04Q9/00
Abstract: In one embodiment, a service receives machine learning-based generative models from a plurality of distributed sites. Each generative model is trained locally at a site using unlabeled data observed at that site to generate synthetic unlabeled data that mimics the unlabeled data used to train the generative model. The service receives, from each of the distributed sites, a subset of labeled data observed at that site. The service uses the generative models to generate synthetic unlabeled data. The service trains a global machine learning-based model using the received subsets of labeled data received from the distributed sites and the synthetic unlabeled data generated by the generative models.
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公开(公告)号：US10608930B2
公开(公告)日：2020-03-31
申请号：US15602928
申请日：2017-05-23
Applicant: Cisco Technology, Inc.
Inventor： Mahyar Fazlyab , Mehdi Nikkhah , Mark Allen Webb
IPC: H04L12/721 , H04L12/751 , H04L12/24 , H04L12/26
Abstract: A network computing device determines a network topology for at least one network flow path between at least one ingress network border device and at least one egress network border device. The network computing device receives a message containing data indicating flow statistics for the at least one ingress network border device. The network computing device generates flow statistics for at least one network device along the at least one network flow path from the network topology and the flow statistics for the at least one ingress network border device. The network computing device generates the flow statistics for at least one network device along the at least one network flow path without receiving flow statistics from the at least one network device along the at least one network flow path.
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Patent Agency Ranking
公开(公告)号：US20200077275A1
公开(公告)日：2020-03-05
申请号：US16451345
申请日：2019-06-25
Applicant: Cisco Technology, Inc.
Inventor： John George Apostolopoulos , Dan Tan , Mehdi Nikkhah , Xiaoqing Zhu , Herbert Wildfeuer , Rob Liston
Abstract: In one embodiment, a device determines locations of a plurality of transmitters relative to a particular wireless access point in a wireless network. One of the transmitters comprises a target client to which the particular wireless access point is to communicate. The device compares a plurality of beamforming patterns associated with the particular wireless access point to the determined locations. The device selects, based on the comparison, one of the beamforming patterns for use by the particular wireless access point to communicate with the target client. The device controls the particular wireless access point to use the selected beamforming pattern to communicate with the target client.
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7.发明申请公开(公告)号：US20190205749A1
公开(公告)日：2019-07-04
申请号：US15860307
申请日：2018-01-02
Applicant: Cisco Technology, Inc.
Inventor： Wai-tian Tan , Robert Edward Liston , Xiaoqing Zhu , Mehdi Nikkhah
Abstract: A network device that is configured to optimize network performance collects a training dataset representing one or more network device states. The network device trains a first model with the training dataset. The first model may be trained to generate one or more fabricated attributes of artificial network traffic through the network device. The network device trains a second model with the training dataset. The second model may be trained to generate a predictive experience metric that represents a predicted performance of an application program of a client device communicating traffic via the network. The network device generates the fabricated attributes based on the training of the first model. The network device generates the predictive experience metric based on the training of the second model and using the one or more fabricated attributes. The network device alters configurations of the network based on the predictive experience metric.
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公开(公告)号：US10855550B2
公开(公告)日：2020-12-01
申请号：US15352938
申请日：2016-11-16
Applicant: Cisco Technology, Inc.
Inventor： Mehdi Nikkhah , Preethi Natarajan
Abstract: A server uses an LSTM neural network to predict a bandwidth value for a computer network element using past traffic data. The server receives a time series of bandwidth utilization of the computer network element. The time series includes bandwidth values associated with a respective time values. The LSTM neural network is trained with a training set selected from at least a portion of the time series. The server generates a predicted bandwidth value associated with a future time value based on the LSTM neural network. The provisioned bandwidth for the computer network element is adjusted based on the predicted bandwidth value.
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公开(公告)号：US10743188B2
公开(公告)日：2020-08-11
申请号：US16451345
申请日：2019-06-25
Applicant: Cisco Technology, Inc.
Inventor： John George Apostolopoulos , Dan Tan , Mehdi Nikkhah , Xiaoqing Zhu , Herbert Wildfeuer , Rob Liston
Abstract: In one embodiment, a device determines locations of a plurality of transmitters relative to a particular wireless access point in a wireless network. One of the transmitters comprises a target client to which the particular wireless access point is to communicate. The device compares a plurality of beamforming patterns associated with the particular wireless access point to the determined locations. The device selects, based on the comparison, one of the beamforming patterns for use by the particular wireless access point to communicate with the target client. The device controls the particular wireless access point to use the selected beamforming pattern to communicate with the target client.
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公开(公告)号：US20200090002A1
公开(公告)日：2020-03-19
申请号：US16131150
申请日：2018-09-14
Applicant: Cisco Technology, Inc.
Inventor： Xiaoqing Zhu , Yaqi Wang , Dan Tan , Rob Liston , Mehdi Nikkhah
Abstract: In one embodiment, a service receives machine learning-based generative models from a plurality of distributed sites. Each generative model is trained locally at a site using unlabeled data observed at that site to generate synthetic unlabeled data that mimics the unlabeled data used to train the generative model. The service receives, from each of the distributed sites, a subset of labeled data observed at that site. The service uses the generative models to generate synthetic unlabeled data. The service trains a global machine learning-based model using the received subsets of labeled data received from the distributed sites and the synthetic unlabeled data generated by the generative models.
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