Facebook, Inc.

Kumar Rangarajan

Michael M Magruder

Zheng Mi

Eun Chang Lee

Giridhar Sreenivasa Murthy

Veera Venkata Naga Rama Kandula

Xun Li

Naga Venkata Surya Maruthi Lakshman Kakkirala

A cluster of devices can be identified where results from executing a test by any cluster devices can be considered as being from the same device. Thus, instead of waiting for a single device to produce comparable results, multiple devices from the same cluster can simultaneously perform the test and obtain the needed set of test results more quickly. The technology can identify clusters of devices that are all similar to a primary cluster device. A device pair can be considered similar when (1) a mean each of a set of test results from each device are within a first threshold of each other, (2) a measurement of the consistency of each test result set are within a second threshold of each other, and (3) a measurement of the consistency of a combination of the test results sets is between the consistency measurements of the individual test result sets.

Dynamic device clustering

Techniques for managing discussion sharing on a mobile platform, comprising a power application. The power application may include, among other components, a power monitoring component to monitor at least one component and/or at least one application of a mobile device to determine device profile information, and a power management component to provide the determined device profile information of a mobile device to a server device and receive predicted information representative of forecasted power utilization of the mobile device and/or context sensitive recommendation information representative of one or more context sensitive recommendations for the mobile device.

Techniques for predictive power management of a mobile device

Growing community of inventors

Cupertino, CA, United States of America

Kumar Rangarajan