Future Wei Technologies, Inc.

Nec Corporation

Agilent Technologies, Inc.

Palo Alto Networks, Inc.

Jun Wang

Guofei Jiang

Zhenyu Wu

Wei Xu

Zhichun Li

Junghwan Rhee

Chen Tian

Ziang Hu

Yuchen Zhou

Fang Liu

Handong Ye

Xia Ning

Zongfang Lin

Ruwan T Kurulugama

Zhiyun Qian

Karthik Rao

An apparatus, method, and computer-readable media are provided for reducing an energy consumption of hardware on which an application is running. In use, a call is received from an application via an application program interface. Such call indicates a state of the application. Further, an action is determined, based on the call. The action is for reducing an energy consumption of hardware on which the application is running. The method continues by executing the action for reducing the energy consumption of the hardware on which the application is running.

Apparatus and method for reducing an energy consumption of hardware based on an application state

A system, computer readable medium, and method are provided for reducing the power consumption of a mobile device. The method includes the steps of detecting video content to be viewed in an application executed by the mobile device; detecting unwanted content associated with the video content; and operating the mobile device in a low-power mode during playback of the video content in the application in response to detecting the unwanted content. The mobile device may include a memory storing the application and a processor executing the application, which configures the processor to implement the method. Five techniques may be applied in the low-power mode to reduce power consumption including Dynamic Voltage and Frequency Scaling (DVFS), reducing resolution of content, reducing brightness of a display, masking content, and thread throttling. The low-power mode saves energy when playing back videos on the mobile device.

Content-aware energy savings for video streaming and playback on mobile devices

Methods and systems for process constraint include collecting system call information for a process. It is detected whether the process is idle based on the system call information and then whether the process is repeating using autocorrelation to determine whether the process issues system calls in a periodic fashion. The process is constrained if it is idle or repeating to limit an attack surface presented by the process.

Discovering and constraining idle processes

Growing community of inventors

Santa Clara, CA, United States of America

Jun Wang