Microsoft Technology Licensing, LLC

Matthew Joel McGlynn

David James Armour

Shriram Natarajan

Scott Michael Napolitan

Heath Lawson

Ricardo Luiz Fagundes Mendes

Anjay Vijendra Ajodha

Claes-Fredrik Urban Mannby

Yifan Wu

Methods, systems, and computer program products are provided that automatically scale an application between private and public cloud computing platforms, while simultaneous enforcing policies ensuring private data is persistently stored on the private cloud computing platform, but not the public cloud computing platform. A traffic manager on the public platform routes traffic to instances of a web app executing on a private platform. A traffic monitor on the private platform monitors performance criteria of the private platform, and reports traffic telemetry to the traffic manager. Based on the traffic telemetry, the traffic manager may instantiate one or more instances of the web app on the public platform to handle traffic. Private data gathered by such instantiated instance(s) is persisted to storage in the private platform, but not in the public platform.

Automatic application scaling between private and public cloud platforms

Methods for cooperative text recommendation acceptance of completion options in a user interface are performed by systems and devices. A user provides inputs via a user interface (UI) that are stored in an input buffer. As a portion of a first input is received, completion options for some part of the first input are determined based on statistical probabilities and the portion. A completion option is selected and displayed via the UI as completing the first input in a differentiated manner from the user-entered input. The user then either generates an acceptance command for the completion option or continues providing the first input and the UI adapts the remaining completion option portion. Acceptance commands are accepted as space characters or as alphanumeric characters representing additional input that follows the first input and the completion option. Statistical likelihoods are used to account for typographical errors and misspellings in user inputs.

System and method for cooperative text recommendation acceptance in a user interface

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Bellevue, WA, United States of America

Matthew Joel McGlynn