Microsoft Technology Licensing, LLC

Paul James Andrew

Chittaranjan Sadanand Pattekar

Konstantin E Ryvkin

Srinivasachakrapani Kotipalli

Brad D Rutkowski

Saurabh Vats

Bryan Louis Porter

Shayon Gupta

Michael Andres Carrillo Pinzon

Vijay Mohan Ankireddi

A latency processing system detects traffic at a cloud service end point and analyzes packets in the detected traffic to identify a network configuration of a client that is accessing the cloud service. Latency components corresponding to different parts of the network configuration are identified and quantified. A recommendation engine is controlled to generate and surface an output indicative of recommendations for reducing network latency.

Detecting and quantifying latency components in accessing cloud services

Non-personal network attributes of a user's network connection are detected. A user's physical location is classified as being onsite or remote based upon the non-personal network attributes. Connectivity performance information is generated indicative of a performance of a user device in connecting with the host computing system over the network, and a control signal is generated to surface performance information through an administrative system.

Detecting non-personal network and connectivity attributes for classifying user location

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Redmond, WA, United States of America

Paul James Andrew