公开(公告)号：US20250031142A1

公开(公告)日：2025-01-23

申请号：US18356736

申请日：2023-07-21

Applicant: Cisco Technology, Inc.

Inventor： Sukrit Dasgupta ,  Federico Lovison

IPC: H04W52/02 ,  H04W24/02 ,  H04W24/10 ,  H04W72/542

Abstract: In one embodiment, a method can receive transmission metadata associated with a plurality of devices within an Internet of Things (IoT) network. The method can use a transmission sensing component (TSC) to measure transmission energy cost for each of the plurality of devices over a time period using the transmission metadata. The method can use a central compute engine (CCE) and the transmission energy cost for each of the plurality of devices to determine a plurality of transmission features associated with the plurality of devices having a transmission energy cost that is minimized. The method can use a transmission scheduling engine (TSE) and the plurality of transmission features to generate a transmission mode schedule to reduce a transmission energy cost for the plurality of devices within the IoT network. The method can adjust a transmission mode associated with the plurality of devices based on the transmission mode schedule.

公开(公告)号：US20210281492A1

公开(公告)日：2021-09-09

申请号：US16812517

申请日：2020-03-09

Applicant: Cisco Technology, Inc.

Inventor： Andrea Di Pietro ,  Javier Cruz Mota ,  Sukrit Dasgupta ,  Jean-Philippe Vasseur

IPC: H04L12/24 ,  G06N20/00

Abstract: In one embodiment, a network assurance service that monitors a network detects a network issue in the network using a machine learning model and based on telemetry data captured in the network. The service assigns the detected network issue to an issue cluster by applying clustering to the detected network issue and to a plurality of previously detected network issues. The service selects a set of one or more actions for the detected network issue from among a plurality of actions associated with the previously detected network issues in the issue cluster. The service obtains context data for the detected network issue. The service provides, to a user interface, an indication of the detected network issue, the obtained context data for the detected network issue, and the selected set of one or more actions.

公开(公告)号：US20210279632A1

公开(公告)日：2021-09-09

申请号：US16809060

申请日：2020-03-04

Applicant: Cisco Technology, Inc.

Inventor： Andrea Di Pietro ,  Javier Cruz Mota ,  Sukrit Dasgupta ,  Jean-Philippe Vasseur

IPC: G06N20/00 ,  G06N5/04 ,  H04L12/24

Abstract: In one embodiment, a service receives telemetry data collected from a plurality of different networks. The service combines the telemetry data into a synthetic input trace. The service inputs the synthetic input trace into a plurality of machine learning models to generate a plurality of predicted key performance indicators (KPIs), each of the models having been trained to assess telemetry data from an associated network in the plurality of different networks and predict a KPI for that network. The service compares the plurality of predicted KPIs to identify one of the plurality of different networks as exhibiting an abnormal behavior.

公开(公告)号：US10540605B2

公开(公告)日：2020-01-21

申请号：US13946386

申请日：2013-07-19

Applicant: Cisco Technology, Inc.

Inventor： Grégory Mermoud ,  Jean-Philippe Vasseur ,  Sukrit Dasgupta

IPC: G06N20/00

Abstract: In one embodiment, techniques are shown and described relating to traffic-based inference of influence domains in a network by using learning machines. In particular, in one embodiment, a management device computes a time-based traffic matrix indicating traffic between pairs of transmitter and receiver nodes in a computer network, and also determines a time-based quality parameter for a particular node in the computer network. By correlating the time-based traffic matrix and time-based quality parameter for the particular node, the device may then determine an influence of particular traffic of the traffic matrix on the particular node.

公开(公告)号：US20180367428A1

公开(公告)日：2018-12-20

申请号：US15626412

申请日：2017-06-19

Applicant: Cisco Technology, Inc.

Inventor： Andrea Di Pietro ,  Grégory Mermoud ,  Jean-Philippe Vasseur ,  Sukrit Dasgupta

IPC: H04L12/26 ,  H04L29/06 ,  G06F17/30

CPC classification number: H04L43/0817 ,  G06F16/24578 ,  G06N3/0472 ,  G06N3/08 ,  G06N5/003 ,  G06N5/04 ,  G06N7/005 ,  G06N20/10 ,  G06N20/20 ,  H04L41/0213 ,  H04L41/0816 ,  H04L41/145 ,  H04L41/147 ,  H04L43/08 ,  H04L43/10 ,  H04L63/1408 ,  H04L63/1433

Abstract: In one embodiment, a device receives health status data indicative of a health status of a data source in a network that provides collected telemetry data from the network for analysis by a machine learning-based network analyzer. The device maintains a performance model for the data source that models the health of the data source. The device computes a trustworthiness index for the telemetry data provided by the data source based on the received health status data and the performance model for the data source. The device adjusts, based on the computed trustworthiness index for the telemetry data provided by the data source, one or more parameters used by the machine learning-based network analyzer to analyze the telemetry data provided by the data source.

公开(公告)号：US20180159755A1

公开(公告)日：2018-06-07

申请号：US15872359

申请日：2018-01-16

Applicant: Cisco Technology, Inc.

Inventor： Sukrit Dasgupta ,  Jean-Philippe Vasseur ,  Grégory Mermoud

IPC: H04L12/26

CPC classification number: H04L43/0894 ,  H04L43/0805 ,  H04L43/0852 ,  H04L43/103 ,  H04L43/16

Abstract: In one embodiment, a device in a network receives data indicative of traffic characteristics of traffic associated with a particular application. The device identifies one or more paths in the network via which the traffic associated with the particular application was sent, based on the traffic characteristics. The device determines a probing schedule based on the traffic characteristics. The probing schedule simulates the traffic associated with the particular application. The device sends probes along the one or more identified paths according to the determined probing schedule.

公开(公告)号：US20180013587A1

公开(公告)日：2018-01-11

申请号：US15712906

申请日：2017-09-22

Applicant: Cisco Technology, Inc.

Inventor： Jean-Philippe Vasseur ,  Sukrit Dasgupta

IPC: H04L12/46 ,  H04L12/26 ,  H04L12/801

CPC classification number: H04L12/4641 ,  H04L43/062 ,  H04L43/0882 ,  H04L43/10 ,  H04L43/12 ,  H04L47/115 ,  H04L47/12 ,  H04L47/25

Abstract: In one embodiment, a time period is identified in which probe packets are to be sent along a path in a network based on predicted user traffic along the path. The probe packets are then sent during the identified time period along the path. Conditions of the network path are monitored during the time period. The rate at which the packets are sent during the time period is dynamically adjusted based on the monitored conditions. Results of the monitored conditions are collected, to determine an available bandwidth limit along the path.

公开(公告)号：US09860140B2

公开(公告)日：2018-01-02

申请号：US13941063

申请日：2013-07-12

Applicant: Cisco Technology, Inc.

Inventor： Jean-Philippe Vasseur ,  Grégory Mermoud ,  Sukrit Dasgupta

IPC: G06F15/16 ,  H04L12/26 ,  H04L12/24

CPC classification number: H04L43/02 ,  H04L41/16 ,  H04L43/103 ,  Y04S40/168

Abstract: In one embodiment, techniques are shown and described relating to dynamically adjusting a set of monitored network properties using distributed learning machine feedback. In particular, in one embodiment, a learning machine (or distributed learning machines) determines a plurality of monitored network properties in a computer network. From this, a subset of relevant network properties of the plurality of network properties may be determined, such that a corresponding subset of irrelevant network properties based on the subset of relevant network properties may also be determined. Accordingly, the computer network may be informed of the irrelevant network properties to reduce a rate of monitoring the irrelevant network properties.

公开(公告)号：US09838409B2

公开(公告)日：2017-12-05

申请号：US14878145

申请日：2015-10-08

Applicant: Cisco Technology, Inc.

Inventor： Fabien Flacher ,  Grégory Mermoud ,  Jean-Philippe Vasseur ,  Sukrit Dasgupta

IPC: G06F11/00 ,  G06F12/14 ,  G06F12/16 ,  G08B23/00 ,  H04L29/06

CPC classification number: H04L63/1425 ,  H04L63/1458

Abstract: In one embodiment, a device in a network analyzes data indicative of a behavior of a network using a supervised anomaly detection model. The device determines whether the supervised anomaly detection model detected an anomaly in the network from the analyzed data. The device trains an unsupervised anomaly detection model, based on a determination that no anomalies were detected by the supervised anomaly detection model.

公开(公告)号：US09813314B2

公开(公告)日：2017-11-07

申请号：US14336106

申请日：2014-07-21

Applicant: Cisco Technology, Inc.

Inventor： Jean-Philippe Vasseur ,  Sukrit Dasgupta

IPC: H04J1/16 ,  H04L12/26 ,  H04L12/28 ,  H04L29/06

CPC classification number: H04L43/062 ,  H04L12/2854 ,  H04L41/0681 ,  H04L43/0852 ,  H04L43/12 ,  H04L43/16 ,  H04L63/00 ,  H04L63/1425

Abstract: In one embodiment, a network device routes traffic along a network path and receives a performance threshold crossing alert regarding performance of the network path. The network device detects that the performance threshold crossing alert is part of a potential network attack by analyzing, by the device, the performance threshold crossing alert. The network device also provides a notification of the detected network attack.