Microsoft Technology Licensing, LLC

Sirish Kumar Balaga

Kevin Tse-Long Fu

David Paul Limont

Selvaraj Nalliah

Srinivasa Reddy Manda

Thomas W Millett

Zohaib Haider Ali

Russell L Simpson, Jr

Eduardo D Melo

Christian Piccolo

Kevin Christopher Clement

Mihir S Ray

Samuele Carpineti

David Meyers

Christopher Gomes

Xiao Hu

Xiang Zhang

Yanhong Yuan

Sriram Panyam

Jeffrey P Wehrwein

Tao Zhang

The disclosed embodiments include a system for processing data. During operation, the system obtains, for a field in a data object, a set of diffs containing default values for the field and a set of mappings representing a set of conditions associated with the data object. Next, the system matches an attribute associated with an instance of the data object to a condition in the set of conditions. The system then uses the mappings to identify, in the set of diffs, a diff to be applied under the condition. Finally, the system updates the field in the instance with a default value associated with the condition by applying the diff to the instance.

Applying dynamic default values to fields in data objects

The disclosed embodiments provide a system for processing a query of profile data. During operation, the system obtains a set of profile fields requested in a query of profile data and one or more profile view settings associated with the query. Next, the system determines, based on the set of profile fields and the profile view setting(s), one or more downstream calls to omit from a set of downstream calls available to generate a result of the query. The system then generates one or more additional downstream calls in the set of downstream calls to resolve a parameter used to generate a result of the query. Finally, the system uses the parameter to generate the result of the query without making the downstream call(s).

Querying of profile data by reducing unnecessary downstream calls

Variety of approaches to optimize performance based on behavioral and situational signals are described. A productivity service initiates operations to optimize performance upon receiving a behavioral signal and/or a situational signal associated with a user. The behavioral signal and/or the situational signal are analyzed to infer a usage pattern associated with a component of an application. Next, a failure of the usage pattern is detected in a comparison to an utility threshold. In response, the application is instructed to interrupt an execution of the component.

Optimizing performance based on behavioral and situational signals

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Sunnyvale, CA, United States of America

Sirish Kumar Balaga