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公开(公告)号：US11438226B2
公开(公告)日：2022-09-06
申请号：US17165364
申请日：2021-02-02
Applicant: Cisco Technology, Inc.
Inventor： Derek William Engi , Gonzalo Salgueiro , M. David Hanes , Bradley Wise , Md Atiqur Rahman
IPC: H04L41/0816 , H04L41/08 , H04L41/0604 , H04L41/22 , H04L41/085
Abstract: In one example, a logical representation of a first graph is generated. The first graph indicates a configuration of a network device in a network at a first time. The first graph includes a first node representative of a first configuration block of the network device, a second node representative of a second configuration block of the network device, and a first link that indicates, by connecting the first node and the second node, that the first configuration block is associated with the second configuration block. The logical representation of the first graph is compared to a logical representation of a second graph that indicates an actual or planned configuration of the network device at a second time subsequent to the first time. In response, one or more changes in the configuration of the network device from the first time to the second time are identified.
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公开(公告)号：US11038814B2
公开(公告)日：2021-06-15
申请号：US16172766
申请日：2018-10-27
Applicant: Cisco Technology, Inc.
Inventor： Gonzalo A. Salgueiro , Santosh Ramrao Patil , M. David Hanes
IPC: H04L12/927 , H04W28/02 , H04L29/12 , H04L12/24 , H04W4/70
Abstract: Techniques for establishing network quality of service for an internet of things device are described. A manufacturer usage description identifier relating to the internet of things device is received. The internet of things device is coupled to a communication network. Quality of service parameters relating to the internet of things device and the communication network are determined based on the manufacturer usage description identifier. The quality of service parameters are provided to a network policy controller. The network policy controller is configured to establish a quality of service for the internet of things device on the communication network based on the one or more quality of service parameters.
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公开(公告)号：US10979302B2
公开(公告)日：2021-04-13
申请号：US15830797
申请日：2017-12-04
Applicant: Cisco Technology, Inc.
Inventor： Charles Calvin Byers , Gonzalo Salgueiro , Joseph Michael Clarke , M. David Hanes
Abstract: Meta behavioral analytics techniques include, at one or more network devices that are operatively coupled to a plurality of behavioral analytics systems associated with a network or system, monitoring data outputs of the plurality of behavioral analytics systems that are representative of activity in the network or system. The one or more network devices correlate the data outputs from two or more of the plurality of behavioral analytics systems that are dedicated to analyzing different subject matter domains. Additionally, based on the correlating, the one or more network devices detect a previously unidentified condition in (a) the network or system; or (b) one of the plurality of behavioral analytics systems.
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14.发明申请公开(公告)号：US20210092068A1
公开(公告)日：2021-03-25
申请号：US17110196
申请日：2020-12-02
Applicant: Cisco Technology, Inc.
IPC: H04L12/851 , H04L12/801 , H04L12/807 , H04L12/841 , H04L12/815
Abstract: Systems and methods provide for generating traffic class-specific congestion signatures and other machine learning models for improving network performance. In some embodiments, a network controller can receive historical traffic data captured by a plurality of network devices within a first period of time that the network devices apply one or more traffic shaping policies for a predetermined traffic class and a predetermined congestion state. The controller can generate training data sets including flows of the historical traffic data labeled as corresponding to the predetermined traffic class and predetermined congestion state. The controller can generate, based on the training data sets, traffic class-specific congestion signatures that receive input traffic data determined to correspond to the predetermined traffic class and output an indication whether the input traffic data corresponds to the predetermined congestion state. The controller can adjust, based on the congestion signatures, traffic shaping operations of the plurality of network devices.
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公开(公告)号：US20200272859A1
公开(公告)日：2020-08-27
申请号：US16282781
申请日：2019-02-22
Applicant: Cisco Technology, Inc.
Inventor： Volodymyr Iashyn , Gonzalo Salgueiro , M. David Hanes
Abstract: Systems, methods, and computer-readable mediums for distributing machine learning model training to network edge devices, while centrally monitoring training of the models and controlling deployment of the models. A machine learning model architecture can be generated at a machine learning structure controller. The machine learning model architecture can be deployed to network edge devices in a network environment to instantiate and train a machine learning model at the network edge devices. Performance reports indicating performance of the machine learning model at the network edge devices can be received by the machine learning structure controller from the network edge devices. The machine learning structure controller can determine whether to deploy another machine learning model architecture to the network edge devices based on the performance reports and subsequently deploy the another architecture to the network edge devices if it is determined to deploy the architecture based on the performance reports.
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Patent Agency Ranking
公开(公告)号：US20190132206A1
公开(公告)日：2019-05-02
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
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.
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公开(公告)号：US20250061049A1
公开(公告)日：2025-02-20
申请号：US18449120
申请日：2023-08-14
Applicant: Cisco Technology, Inc.
Inventor： Sebastian Jeuk , Gonzalo A Salgueiro , M. David Hanes , Matthew R. Engle
IPC: G06F11/36
Abstract: A system and method are provided that use an intelligence model that continuously learns and identifies changes within a production computing environment and determines if adjustments/changes to be made in the production computing environment are to be validated during testing based on a set of criteria. The intelligence model determines possible adjustments in a computing environment (and their impact during testing) that have been learned from stored/accumulated data associated with a plurality of production computing environments over time.
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公开(公告)号：US20240388571A1
公开(公告)日：2024-11-21
申请号：US18359060
申请日：2023-07-26
Applicant: Cisco Technology, Inc.
Inventor： M. David Hanes , Vivek Kumar Singh , Gonzalo Salgueiro , Derek William Engi
Abstract: A system and method for an artificial intelligence (AI) confidentiality proxy that can protect a network from the transferal of sensitive AI data sets to outside AI systems. A data contract is established between the proxy and outside AI systems could function as well as user personas for additional protection. This system can also integrate with the network and provide security policy content and inspection rules.
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公开(公告)号：US20240364505A1
公开(公告)日：2024-10-31
申请号：US18763615
申请日：2024-07-03
Applicant: Cisco Technology, Inc.
Inventor： Mateusz Olszowy , M. David Hanes , Oliver W. Fagan
IPC: H04L9/08 , G06K7/14 , H04L65/401
CPC classification number: H04L9/085 , G06K7/1413 , G06K7/1417 , H04L65/4015
Abstract: A packet capture operation is configured via a first computing device. The packet capture operation is configured to capture packets provided by a second computing device. The first computing device obtains an indication that a user is within a predetermined location proximity to the second computing device. The packet capture operation is initiated in response to obtaining the indication at the first computing device.
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公开(公告)号：US11558927B2
公开(公告)日：2023-01-17
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
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.
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