Cisco Technology, Inc.

Muhilan Natarajan

Jerome Henry

Shankar Ramanathan

Gonzalo A Salgueiro

Robert Edgar Barton

Vishal Satyendra Desai

Robert E Barton

David C White, Jr

Akram Ismail Sheriff

M David Hanes

Michael P O'Brien

Christopher Shaun Roberts

This disclosure describes techniques and mechanisms for determine a change window of least impact based on the type of activity, urgency, and preference, and highlighting risk(s) of choosing a change window. The techniques streamline and automate change window technology and provide customized and personalized change window option(s) to an administrator of a network.

Intelligent change window planner

Aggregated health information for a managed network may be retrieved and processed in response to changes to the managed network topology, configuration, or software. In response to receiving notification that a change to a component of the managed network has occurred, a change audit analysis engine can retrieve performance indicator information from components along a traceroute including the component which underwent the change. The retrieved performance indicator information can be processed by a memory based neural network to predict an impact of the change on the aggregated health of the managed network. The predicted impact can be compared to network health information retrieved through an ongoing basis and issues can be determined based on a comparison of the predict impact and the retrieved health information.

Systems and methods for contextual network assurance based on change audits

In one embodiment, a supervisory service for a wireless network obtains frequency-time Doppler profile information for an endpoint node attached to a first access point in the wireless network. The supervisory service uses the frequency-time Doppler profile information for the endpoint node as input to a machine learning model. The machine learning model is trained to output an action for the endpoint node with respect to the wireless network. The supervisory service causes the action for the endpoint node with respect to the wireless network to be performed.

Environment aware node redundancy and optimized roaming

Consumption-based licensing of network features based on blockchained transactions includes receiving, at a server having connectivity to a network including a plurality of network devices, a request from a particular network device of the plurality of network devices for a feature that is licensed in the network on a per-use basis. Feature-specific key blockchain elements and a feature-specific template are generated for the feature and at least one message that includes the feature-specific key blockchain elements and the feature-specific template is sent to the particular network device. The message enables the plurality of network devices to generate one or more blockchain transactions related to consumption of the feature when a usage interval associated with the feature expires.

Consumption-based licensing of network features based on blockchain transactions

Growing community of inventors

Allen, TX, United States of America

Muhilan Natarajan