公开(公告)号：US11356342B2

公开(公告)日：2022-06-07

申请号：US16744950

申请日：2020-01-16

Applicant: Cisco Technology, Inc.

Inventor： Antonio Nucci ,  Jaykishan Anilkumar Pandya

IPC: H04L41/022 ,  H04L41/0233 ,  H04L41/085 ,  H04L43/028 ,  H04L43/065 ,  H04L41/044

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.

公开(公告)号：US11321337B2

公开(公告)日：2022-05-03

申请号：US16203725

申请日：2018-11-29

Applicant: Cisco Technology, Inc.

Inventor： Antonio Nucci ,  Ahmed Khattab ,  Carlos M. Pignataro ,  Ravi K. Papisetti ,  Prasad Potipireddi ,  Richard M. Plane

IPC: G06F16/25 ,  G06F16/21 ,  G06F21/62 ,  G06F16/2458 ,  G06F16/383 ,  G06F16/2457

Abstract: A Services Delivery Platform (SDP) architecture is provided that is configured to onboard new data sets into an SDP data lake. The SDP enables the crowdsourcing of data on-boarding by configuring this process into an interactive, intuitive, step-by-step guided workflow while governing/controlling key functions like verification, acceptance and execution.

公开(公告)号：US11050848B2

公开(公告)日：2021-06-29

申请号：US16786383

申请日：2020-02-10

Applicant: Cisco Technology, Inc.

Inventor： Antonio Nucci ,  Ahmed Khattab ,  Carlos M. Pignataro ,  Richard M. Plane ,  Duen-Uei D. Chen ,  Samudra H. Bekti

IPC: H04L29/08 ,  H04L29/06 ,  G06F8/61

Abstract: Presented herein are methods associated with a Services Delivery Platform (SDP) architecture for a distributed application building blocks, such as microservices, deployment-agnostic. The system includes a central compute node and numerous remote compute nodes. Techniques are provided to “onboard” and assimilate the capabilities of remote compute nodes so that they are an integrated part of the SDP system and can be accessed and used in connection with one or more services provided by the SDP system.

公开(公告)号：US10931511B2

公开(公告)日：2021-02-23

申请号：US16558586

申请日：2019-09-03

Applicant: Cisco Technology, Inc.

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

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

公开(公告)号：US10771488B2

公开(公告)日：2020-09-08

申请号：US15949198

申请日：2018-04-10

Applicant: Cisco Technology, Inc.

Inventor： Saurabh Verma ,  Manjula Shivanna ,  Gyana Ranjan Dash ,  Antonio Nucci

IPC: H04L29/06 ,  G06N3/08

Abstract: In one embodiment, a device receives sensor data from a plurality of nodes in a computer network. The device uses the sensor data and a graph that represents a topology of the nodes in the network as input to a graph convolutional neural network. The device provides an output of the graph convolutional neural network as input to a convolutional long short-term memory recurrent neural network. The device detects an anomaly in the computer network by comparing a reconstruction error associated with an output of the convolutional long short-term memory recurrent neural network to a defined threshold. The device initiates a mitigation action in the computer network for the detected anomaly.

公开(公告)号：US20200177704A1

公开(公告)日：2020-06-04

申请号：US16786383

申请日：2020-02-10

Applicant: Cisco Technology, Inc.

Inventor： Antonio Nucci ,  Ahmed Khattab ,  Carlos M. Pignataro ,  Richard M. Plane ,  Duen-Uei D. Chen ,  Samudra H. Bekti

IPC: H04L29/08 ,  G06F8/61 ,  H04L29/06

Abstract: Presented herein are methods associated with a Services Delivery Platform (SDP) architecture for a distributed application building blocks, such as microservices, deployment-agnostic. The system includes a central compute node and numerous remote compute nodes. Techniques are provided to “onboard” and assimilate the capabilities of remote compute nodes so that they are an integrated part of the SDP system and can be accessed and used in connection with one or more services provided by the SDP system.

公开(公告)号：US10601956B2

公开(公告)日：2020-03-24

申请号：US16177507

申请日：2018-11-01

Applicant: Cisco Technology, Inc.

Inventor： Antonio Nucci ,  Ahmed Khattab ,  Carlos M. Pignataro ,  Richard M. Plane ,  Duen-Uei D. Chen ,  Samudra H. Bekti

IPC: H04L29/08 ,  H04L29/06 ,  G06F8/61

Abstract: Presented herein are methods associated with a Services Delivery Platform (SDP) architecture for a distributed application building blocks, such as microservices, deployment-agnostic. The system includes a central compute node and numerous remote compute nodes. Techniques are provided to “onboard” and assimilate the capabilities of remote compute nodes so that they are an integrated part of the SDP system and can be accessed and used in connection with one or more services provided by the SDP system.

公开(公告)号：US20190312898A1

公开(公告)日：2019-10-10

申请号：US15949198

申请日：2018-04-10

Applicant: Cisco Technology, Inc.

Inventor： Saurabh Verma ,  Manjula Shivanna ,  Gyana Ranjan Dash ,  Antonio Nucci

IPC: H04L29/06 ,  G06N3/08

Abstract: In one embodiment, a device receives sensor data from a plurality of nodes in a computer network. The device uses the sensor data and a graph that represents a topology of the nodes in the network as input to a graph convolutional neural network. The device provides an output of the graph convolutional neural network as input to a convolutional long short-term memory recurrent neural network. The device detects an anomaly in the computer network by comparing a reconstruction error associated with an output of the convolutional long short-term memory recurrent neural network to a defined threshold. The device initiates a mitigation action in the computer network for the detected anomaly.