Microsoft Technology Licensing, LLC

Aman Arneja

Benjamin M Schultz

Mukund Sankaranarayan

Mitesh K Desai

Mohammad Shabbir Alam

Abhishek Tiwari

Parmjeet Singh

Dhiraj Gupta

Sudharssun Subramanian

Shahar Marom

The electronic devices described herein enhance a user experience associated with a network connection by transitioning between networks and/or network media. Determinations to switch from one network to another are based on connection quality factors which are collected and compared to defined connection quality thresholds. The connection quality factors are correlated to the quality of the connection, such that the quality of the connection is optimized by switching networks when the connection to one network is poor but the connection to an alternative network may be better. Further, the switching process between networks and/or network media, particularly between 802.11ad networks and other 802.11 networks, is enhanced such that it is substantially seamless, or unnoticeable to the user. The connection quality-based switching determination and the seamless switching between networks provide a consistent, high quality connection and a satisfying user experience.

Switching between network media seamlessly while maintaining a network connection

The methods described herein are configured to collect profile data on a device, scan for access points based on the profile data, and update a machine learning (ML) component based on feedback from the scan. Profile data is collected on a device as input to the ML component and a scan pattern is generated by the ML component based on the collected profile data, the scan pattern including a scan frequency, a scan iteration count, and a channel hint. A scan for access points is run in accordance with the generated scan pattern and the ML component receives feedback including a scanning result based on the scan for access points. ML component is then updated based on the scanning result, the scan pattern, and the profile data. Improving the ML component and thereby, the scanning efficiency of the device provides consistent network connection and improved battery performance.

Intelligent access point scanning based on a profile

Aggregating traffic over multiple VPN connections is described. A first Virtual Private Network (VPN) connection is established between a client device and a first VPN server via a a first access network of the client device. A second Virtual Private Network (VPN) connection is established between the client device and a second VPN server via a second access network of the client device. Application traffic associated with a connection between an application server and a client application that corresponds to the client device is received. The application traffic associated with the connection between the application server and the client application is distributed between at least the first VPN connection and the second VPN connection.

Virtual private network aggregation

A control and monitoring system orders a service chain&#x2014;an order of data flow through a plurality of network nodes&#x2014;based on network node identifiers. The control and monitoring system provide a policy to networking nodes in order to enforce the order of the service chain. In some embodiments, features are implemented to improve the availability of service chains. Such features include load-balancing, fail-over, traffic engineering, and automated deployment of virtualized network functions at various stages of a service chain, among others.

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Bellevue, WA, United States of America

Aman Arneja