公开(公告)号：US11637740B2

公开(公告)日：2023-04-25

申请号：US17175061

申请日：2021-02-12

Applicant: VMware, Inc.

Inventor： Manu Sharma ,  Deepak Khurana ,  Sarabjot Singh ,  Adnan Raja ,  Srikanth Hariharan ,  Aditya Gudipati ,  Manu Bansal ,  Duyen Riggs ,  Rakesh Misra

IPC: H04W28/02 ,  H04L41/0631 ,  H04W24/04 ,  H04L41/16 ,  H04W24/10 ,  H04L43/0817 ,  H04W24/08

Abstract: A method for automated root cause analysis in mobile radio access networks, including: determining mobile radio access network data (e.g., RAN data); detecting an anomaly for a set of user sessions and/or cells from the RAN data; and classifying the detected anomalies using a set of root cause classifiers.

公开(公告)号：US10797963B2

公开(公告)日：2020-10-06

申请号：US16563869

申请日：2019-09-07

Applicant: VMware, Inc.

Inventor： Aditya Gudipati ,  Rakesh Misra ,  Manu Bansal ,  Srikanth Hariharan ,  Ben Basler ,  Rajiv Ramanathan ,  Rohan Agarwal

IPC: G06F15/173 ,  H04L12/24 ,  H04L12/26

Abstract: A graphical user interface (“GUI”) allows for the creation of custom key performance indicators (“KPIs”) for real-time analysis of network telemetry events. The GUI can include options for defining variables based on event attributes. These can correspond to events that exist in input telemetry streams at a stream processor. The GUI can allow creation of a formula based on these variables. An aggregation section specifies how the output of the formula is aggregated. This can be based on group, aggregation function, and time period. A manager process causes the stream processor to apply the custom KPI definition to real-time input streams. An output KPI stream can then be routed to a destination for analysis.

公开(公告)号：US10924330B2

公开(公告)日：2021-02-16

申请号：US16563830

申请日：2019-09-07

Applicant: VMware, Inc.

Inventor： Manu Sharma ,  Deepak Khurana ,  Sarabjot Singh ,  Adnan Raja ,  Srikanth Hariharan ,  Aditya Gudipati ,  Manu Bansal ,  Duyen Riggs ,  Rakesh Misra

IPC: H04W24/04 ,  H04L12/24 ,  H04W24/10 ,  H04L12/26 ,  H04W24/08

Abstract: A method for automated root cause analysis in mobile radio access networks, including: determining mobile radio access network data (e.g., RAN data); detecting an anomaly for a set of user sessions and/or cells from the RAN data; and classifying the detected anomalies using a set of root cause classifiers.

公开(公告)号：US20200084118A1

公开(公告)日：2020-03-12

申请号：US16563869

申请日：2019-09-07

Applicant: VMware, Inc.

Inventor： Aditya Gudipati ,  Rakesh Misra ,  Manu Bansal ,  Srikanth Hariharan ,  Ben Basler ,  Rajiv Ramanathan ,  Rohan Agarwal

IPC: H04L12/24 ,  H04L12/26

Abstract: A graphical user interface (“GUI”) allows for the creation of custom key performance indicators (“KPIs”) for real-time analysis of network telemetry events. The GUI can include options for defining variables based on event attributes. These can correspond to events that exist in input telemetry streams at a stream processor. The GUI can allow creation of a formula based on these variables. An aggregation section specifies how the output of the formula is aggregated. This can be based on group, aggregation function, and time period. A manager process causes the stream processor to apply the custom KPI definition to real-time input streams. An output KPI stream can then be routed to a destination for analysis.

公开(公告)号：US20210176116A1

公开(公告)日：2021-06-10

申请号：US17175061

申请日：2021-02-12

Applicant: VMware, Inc.

Inventor： Manu Sharma ,  Deepak Khurana ,  Sarabjot Singh ,  Adnan Raja ,  Srikanth Hariharan ,  Aditya Gudipati ,  Manu Bansal ,  Duyen Riggs ,  Rakesh Misra

IPC: H04L12/24 ,  H04W24/04 ,  H04W24/10 ,  H04L12/26 ,  H04W24/08

Abstract: A method for automated root cause analysis in mobile radio access networks, including: determining mobile radio access network data (e.g., RAN data); detecting an anomaly for a set of user sessions and/or cells from the RAN data; and classifying the detected anomalies using a set of root cause classifiers.

公开(公告)号：US20200084087A1

公开(公告)日：2020-03-12

申请号：US16563830

申请日：2019-09-07

Applicant: VMware, Inc.

Inventor： Manu Sharma ,  Deepak Khurana ,  Sarabjot Singh ,  Adnan Raja ,  Srikanth Hariharan ,  Aditya Gudipati ,  Manu Bansal ,  Duyen Riggs ,  Rakesh Misra

IPC: H04L12/24 ,  H04W24/04 ,  H04W24/08 ,  H04W24/10 ,  H04L12/26

Abstract: A method for automated root cause analysis in mobile radio access networks, including: determining mobile radio access network data (e.g., RAN data); detecting an anomaly for a set of user sessions and/or cells from the RAN data; and classifying the detected anomalies using a set of root cause classifiers.