Youtube traffic characterization: a view from the edge
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Somniloquy: augmenting network interfaces to reduce PC energy usage
NSDI'09 Proceedings of the 6th USENIX symposium on Networked systems design and implementation
Hypervisors for consumer electronics
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
An analysis of power consumption in a smartphone
USENIXATC'10 Proceedings of the 2010 USENIX conference on USENIX annual technical conference
| Hi-index | 0.00 |
Reducing power consumption of Mobile Internet Devices (MID) and smartphones is critical as battery life is a key feature for mobility. Most vendors use System-On-Chip designs integrating more and more fixed-function hardware modules in a bid to reduce power consumption. On the other hand the explosion of new applications has increased the demand for PC-like processing capabilities on these devices. They are best supported by general purpose CPUs and Operating Systems which consume more power. Traditional system architectures focus on a data transfer model with the CPU as one of the endpoints. Consequently there are numerous usage scenarios where the general purpose CPU just acts as an intermediary between hardware modules, transferring data from a hardware module to memory and vice-versa. We propose Direct Data Flows, an SoC focused system architecture where the OS can configure fixed-function hardware modules to communicate data directly with each other. This eliminates unnecessary data hops and reduces CPU interrupts allowing the general purpose CPU to be opportunistically brought into lower power states, reducing overall power consumption. We have created a prototype Direct Data Flow setup for network file downloads which demonstrates up to 65% energy savings for typical file sizes.