Vmware, Inc.

Manu Bansal

Srikanth Hariharan

Aditya Gudipati

Rakesh Misra

Sarabjot Singh

Adnan Raja

Manu Sharma

Duyen Riggs

Deepak Khurana

Rohan Agarwal

Ben Basler

Rajiv Ramanathan

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.

Intelligent anomaly detection and root cause analysis in mobile networks

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.

Composition of custom key performance indicators for real-time analysis of network telemetry events

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Palo Alto, CA, United States of America

Manu Bansal