In this paper we analyze energy usage in divisible load processing. Divisible load theory (DLT) applies to computations which can be divided into parts of arbitrary sizes, and the parts can be independently processed in parallel. The shortest schedule for divisible load processing is determined by the speed of computation and communication. Energy usage for such a time-optimum schedule is analy...

background and objectives: operating room (or) scheduling is key to optimal operating room productivity. the significant uncertainty associated with surgery duration renders scheduling of surgical operation a challenging task. this paper proposes a novel computational stochastic model to optimize scheduling of surgeries with uncertain durations. the model considers various surgical operation co...

We introduce low-overhead power optimization techniques to reduce leakage power in embedded processors. Our techniques improve previous work by a) taking into account idle time distribution for different execution units, and b) using instruction decode and control dependencies to wakeup the gated (but needed) units as soon as possible. We take into account idle time distribution per execution u...

For existing sensor systems, the power consumption of radio for idle listening is in the same order with that for transmitting. In order to prolong the lifetime of sensor networks, we propose a reliable and energy-efficient data aggregation scheme (Reed) to reduce idle listening time. In this application scenario, each sensor node periodically detects the environment and is allowed to send one ...

Mobile devices such as notebooks and smart phones have replaced the personal computer as main personal information devices. These devices drive a strong demand for wireless networks and wireless communication for the rapidly growing number of Internet users. Since mobile terminals will be severely constrained by their limited battery endurance, it is essential that new protocols and control mec...

Power consumption is rapidly increased in data centers because the number of data center is increased and more the scale of data center become larger. Therefore, it is one of key research items to reduce power consumption in data center. The peak power of a typical server is around 250 watts. When a server is idle, it continues to use around 60% of the power consumed when in use, though vendors...