Dynamic power management aims at extending battery life by switching devices to lower-power modes when there is a reduced demand for service. Static power management strategies can...
This paper develops a scalable online optimization framework for the autonomic performance management of distributed computing systems operating in a dynamic environment to satisf...
To minimize the surging power consumption of microprocessors, adaptive computing environments (ACEs) where microarchitectural resources can be dynamically tuned to match a program...
Shiwen Hu, Madhavi Gopal Valluri, Lizy Kurian John
- This paper presents a novel power management techniques based on enhanced Q-learning algorithms. By exploiting the submodularity and monotonic structure in the cost function of a...
In this paper, we propose an adaptive hybrid dynamic power management (AH-DPM) strategy based on a predictive shutdown scheme and an adaptive non-stationary stochastic process. Th...