Microsoft Technology Licensing, LLC

William Dunlap

Alain Franck Gefflaut

Chen Zhao

Arsalan Ahmad

Alexandre De Baynast

Wolfgang Manousek

Zhou Wang

Andreas Steinmetzler

Satnam Singh

Thomas Santen

Embodiments related to automatically adjusting wireless network settings based upon utilization of a wireless network link by applications are disclosed. For example, one disclosed embodiment provides a method of adjusting a wireless networking setting for a wireless network link. The method includes monitoring data flow through a network interface controller to collect, for each of one or more applications running on the computing device and communicating over the wireless network link, flow performance data comprising information regarding an amount of data flow arising from the application. The method also includes monitoring link data comprising information regarding data being sent and received over the wireless network link, and based upon the flow performance data and the link data, controlling a network interface controller to adjust the wireless networking parameter to change a configuration of the network link.

Application-driven control of wireless networking settings

A stream processing execution engine evaluates development-time performance characteristic estimates in combination with run-time parameters to schedule execution of stream processing software components in a stack of a stream processing application that satisfy a defined performance criterion in a heterogeneous hardware device. A stream processing application includes a stack of interdependent stream processing software components. A stream processing execution engine evaluates one or more performance characteristics of multiple computational resources in the heterogeneous hardware device. Each performance characteristic is associated with performance of a computational resource in executing a computational-resource-dependent instance of a stream processing software component. The stream processing execution engine schedules within the run-time environment a computational resource on which to execute a computational-resource-dependent instance of one of the stream processing software components. The computational-resource-dependent instance is targeted for execution on the computational resource that satisfies a performance policy attributed to the stream processing software component.

Stream processing on heterogeneous hardware devices

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Aachen, Germany

William Dunlap