Arris Enterprises LLC

Ilango Purushothaman

Yang Han

David Sheldon Stephenson

Wenge Ren

Doron Givoni

Sandip C Patel

Lakshmi Nagarajan

Jiayi Chen

Koteswar Rao Mellachervu

SeeHo Ting

During operation, an electronic device may emulate client functionality associated with a virtual client in a wireless network, where emulating the client functionality includes generating a first frame that is compatible with a wireless communication protocol and is associated with fictious wireless communication with the virtual client. Then, the electronic device may provide, to a computer, a second frame that includes at least a portion of the first frame, where the second frame is compatible with a wired communication protocol. Next, the electronic device may receive, from the computer, a response message based at least in part on the first frame, where the response message includes information associated with a service provided by the computer. Moreover, the electronic device may assess the service based at least in part on the information and may selectively perform the remedial action based at least in part on the assessment.

Service validation using emulated virtual clients

During operation, a computer may compare values of at least one performance metric for access points in appropriate contexts to determine one or more temporal anomalies and/or one or more spatial anomalies for one or more of the access points. Then, the computer may generate one or more temporal anomaly events based at least in part on the one or more temporal anomalies and one or more spatial anomaly events based at least in part on the one or more spatial anomalies. Next, the computer may calculate one or more complex events based at least in part on two or more of the different anomalies. Moreover, the computer may evaluate the different anomalies, anomaly event and/or complex events to determine one or more insights about a problem in the network. Furthermore, the computer may perform a remedial action.

Access point performance monitoring and anomaly detection based on temporal and spatial anomalies

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Ilango Purushothaman