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    Determining customized software recommendations for network devices
    1.
    发明授权
    Determining customized software recommendations for network devices 有权

    公开(公告)号：US11698782B2

    公开(公告)日：2023-07-11

    申请号：US16689694

    申请日：2019-11-20

    Applicant: Cisco Technology, Inc.

    Inventor： Antonio Nucci ,  Martin Beverley ,  Ali Ebtekar

    IPC: G06F8/65 ,  G06F21/57 ,  G06F16/25 ,  H04Q9/02 ,  H04L43/08 ,  H04L67/306

    CPC classification number: G06F8/65 ,  G06F16/252 ,  G06F21/577 ,  H04Q9/02 ,  G06F2221/033 ,  H04L43/08 ,  H04L67/306 ,  H04Q2209/40

    Abstract: Techniques for receiving operational preferences for operating network devices, and determining software updates for the network devices based on the operational preferences. A recommendation system may determine a group of network devices in a device network based on the network devices in the group performing a common functional role or have common attributes. The recommendation engine may further receive the operational preferences for the group of network devices from a user associated with the device network. These operational preferences may be continuously, or periodically, evaluated against actual operating conditions of the group of network devices to determine whether a risk metric associated with the actual operation conditions violates an operational preference. In some instances, the recommendation system may provide the user with access to a recommendation to run updated software that is more optimized for the network device and that satisfies the operational preferences of the user.

    Determining Customized Software Recommendations for Network Devices
    2.
    发明申请
    Determining Customized Software Recommendations for Network Devices 有权

    公开(公告)号：US20210081189A1

    公开(公告)日：2021-03-18

    申请号：US16689694

    申请日：2019-11-20

    Applicant: Cisco Technology, Inc.

    Inventor： Antonio Nucci ,  Martin Beverley ,  Ali Ebtekar

    IPC: G06F8/65 ,  G06F21/57 ,  G06F16/25 ,  H04Q9/02

    Abstract: Techniques for receiving operational preferences for operating network devices, and determining software updates for the network devices based on the operational preferences. A recommendation system may determine a group of network devices in a device network based on the network devices in the group performing a common functional role or have common attributes. The recommendation engine may further receive the operational preferences for the group of network devices from a user associated with the device network. These operational preferences may be continuously, or periodically, evaluated against actual operating conditions of the group of network devices to determine whether a risk metric associated with the actual operation conditions violates an operational preference. In some instances, the recommendation system may provide the user with access to a recommendation to run updated software that is more optimized for the network device and that satisfies the operational preferences of the user.

    PREDICTING COMPUTER NETWORK EQUIPMENT FAILURE
    3.
    发明申请
    PREDICTING COMPUTER NETWORK EQUIPMENT FAILURE 审中-公开

    公开(公告)号：US20190097873A1

    公开(公告)日：2019-03-28

    申请号：US15715849

    申请日：2017-09-26

    Applicant: Cisco Technology, Inc.

    Inventor： Antonio Nucci ,  Sujit Biswas ,  Manjula Shivanna ,  Amod Augustin

    IPC: H04L12/24 ,  H04L12/26 ,  G06F11/00

    Abstract: A network monitor may receive network log events and identify: a first set of network devices that have reported a target network log event, a second set of network devices that have not reported the target network log event, a first set of network log events reported by the first set of network devices, and a second set of network log events reported by the second set of network devices. The network monitor may determine which network log events are legitimate, and filter the legitimate network log events from the first set of network log events or the second set of network log events to produce a group of suspicious network log events that may be correlated with the target network log event. The network monitor may predict future suspicious network log events that may be correlated with the target network log event in order to predict equipment failures.

    METHODS AND APPARATUS FOR OPTIMIZING BANDWIDTH CONSUMPTION IN SUPPORT OF INTENSE NETWORK-WISE HEALTH ASSESSMENT
    6.
    发明申请
    METHODS AND APPARATUS FOR OPTIMIZING BANDWIDTH CONSUMPTION IN SUPPORT OF INTENSE NETWORK-WISE HEALTH ASSESSMENT 有权

    公开(公告)号：US20210226863A1

    公开(公告)日：2021-07-22

    申请号：US16744950

    申请日：2020-01-16

    Applicant: Cisco Technology, Inc.

    Inventor： Antonio Nucci ,  Jaykishan Anilkumar Pandya

    IPC: H04L12/26 ,  H04L12/24

    Abstract: This disclosure describes techniques for providing a network diagnostic system with on-premise node processing and cloud node processing to optimize bandwidth usage and decrease memory footprint. The on-premise node may receive streaming telemetry from connected network devices and encode to the telemetry data into filtered data objects. The on-premise node may determine whether the state of a network device has changed to determine to push the filtered data object to a cloud node for further diagnostic analysis. The cloud node may include a gateway and a pool of proxy servers, wherein each proxy server is designated to perform diagnostic analysis on a single product type.

    Predicting computer network equipment failure
    8.
    发明授权
    Predicting computer network equipment failure 有权

    公开(公告)号：US10469307B2

    公开(公告)日：2019-11-05

    申请号：US15715849

    申请日：2017-09-26

    Applicant: Cisco Technology, Inc.

    Inventor： Antonio Nucci ,  Sujit Biswas ,  Manjula Shivanna ,  Amod Augustin

    IPC: G06F11/00 ,  H04L12/24 ,  H04L12/26 ,  G06F11/07

    Abstract: A network monitor may receive network log events and identify: a first set of network devices that have reported a target network log event, a second set of network devices that have not reported the target network log event, a first set of network log events reported by the first set of network devices, and a second set of network log events reported by the second set of network devices. The network monitor may determine which network log events are legitimate, and filter the legitimate network log events from the first set of network log events or the second set of network log events to produce a group of suspicious network log events that may be correlated with the target network log event. The network monitor may predict future suspicious network log events that may be correlated with the target network log event in order to predict equipment failures.

    NEURAL NETWORK-ASSISTED COMPUTER NETWORK MANAGEMENT
    9.
    发明申请
    NEURAL NETWORK-ASSISTED COMPUTER NETWORK MANAGEMENT 审中-公开

    公开(公告)号：US20190197397A1

    公开(公告)日：2019-06-27

    申请号：US15855781

    申请日：2017-12-27

    Applicant: Cisco Technology, Inc.

    Inventor： Saurabh Verma ,  Gyana R. Dash ,  Shamya Karumbaiah ,  Arvind Narayanan ,  Manjula Shivanna ,  Sujit Biswas ,  Antonio Nucci

    IPC: G06N3/08 ,  H04L12/24 ,  G06N3/04

    CPC classification number: G06N3/08 ,  G06N3/04 ,  H04L41/12

    Abstract: Sequences of computer network log entries indicative of a cause of an event described in a first type of entry are identified by training a long short-term memory (LSTM) neural network to detect computer network log entries of a first type. The network is characterized by a plurality of ordered cells Fi=(xi, ci-1, hi-1) and a final sigmoid layer characterized by a weight vector wT. A sequence of log entries xi is received. An hi for each entry is determined using the trained Fi. A value of gating function Gi(hi, hi-1)=II (wT(hi−hi-1)+b) is determined for each entry. II is an indicator function, b is a bias parameter. A sub-sequence of xi corresponding to Gi(hi, hi-1)=1 is output as a sequence of entries indicative of a cause of an event described in a log entry of the first type.

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