Integrated power management for video streaming to mobile handheld devices

Optimizing user experience for streaming video applications on handheld devices is a significant research challenge. In this paper, we propose an integrated power management approach that unifies low level architectural optimizations(CPU, mem-ory, register), OS power-saving mechanisms (Dynamic Voltage Scaling) and adaptive middleware techniques(admission control, optimal transcoding, network traffic regula-tion). Specifically, we identify interaction parameters between the different levels and optimize them to significantly reduce power consumption. With knowledge of device configurations, dynamic device parameters and changing system conditions, the mid-dleware layer selects an appropriate video quality and fine tunes the architecture for optimized delivery of video. Our performance results indicate that architectural op-timizations that are cognizant of user level parameters(e.g. transcoded video quality) can provide energy gains as high as 57.5 % for the CPU and memory. Middleware adap-tations to changing network noise levels can save as much as 70 % of energy consumed by the wireless network interface. Furthermore, we demonstrate how such an inte