Microsoft Technology Licensing, LLC

Chieh-Jan Mike Liang

Feng Zhao

Ranveer Chandra

Jie Jerry Liu

Thomas Moscibroda

Nissanka Arachchige Bodhi Priyantha

Jinglei Ren

Nicholas Donald Atkins Lane

Niels Brouwers

Liqian Luo

The subject matter described herein relates to a file system with adaptive flushing for an electronic device. The file system keeps data in memory much longer and its policy for flushing in-memory write cache to storage is application-aware and adaptive. More specifically, what parts of the cached data are ready for flushing could be determined according to the access characteristic of an application. In addition, when to do flushing can be selected flexibly at least partly based on user input interactions with an application of the electronic device or with the electronic device. Further, a multi-priority scheduling mechanism for scheduling data units that are ready to be flushed could be employed, which ensures fairness among applications and further improves flushing performance.

Flushing in file system

A framework for use in developing proximity-based social interactions (PSIs) shows energy efficiency, topology robustness, and a lessened load for group participants. Implementations of the framework may include PSI-specific application hints to aggregate and schedule pending transmissions and match delivery requirement, topology structure and maintenance schemes that provide robustness and improve efficiency, and load-distributing group dissemination protocols.

Framework and applications for proximity-based social interaction

Application testing and analysis may include performing perturbations to affect an environment associated with the application executing on a user device without affecting other applications executing on the user device. The execution of the application may be traced while the perturbations are being performed to determine an amount of resources of the user device consumed by the application and to determine whether a performance of the application was degraded.

Application testing and analysis

Systems and methods that provide for collection of sensor data in a wireless network with a dynamically changing structure. A data collection protocol exploits the self-awareness capabilities of nodes in selection of tree structures that form the wireless network during communication with a base station. The data collection protocol can further include a topology control component (which regulates how nodes are distributed among various tree structures and associated communication channels with the base station) and data retrieval component (which coordinates among the sensors to transmit data packets containing sensor data to efficiently employ available bandwidth).

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Beijing, China

Chieh-Jan Mike Liang