Open AccessJournal Article
A survey of design techniques for system-level dynamic power management : Special section on low-power electronics and design
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Dynamic power management (DPM) is a design methodology for dynamically reconfiguring systems to provide the requested services and performance levels with a minimum number of active components or a minimum load on such components as mentioned in this paper.Abstract:
Dynamic power management (DPM) is a design methodology for dynamically reconfiguring systems to provide the requested services and performance levels with a minimum number of active components or a minimum load on such components. DPM encompasses a set of techniques that achieves energy-efficient computation by selectively turning off (or reducing the performance of) system components when they are idle (or partially unexploited). In this paper, we survey several approaches to system-level dynamic power management. We first describe how systems employ power-manageable components and how the use of dynamic reconfiguration can impact the overall power consumption. We then analyze DPM implementation issues in electronic systems, and we survey recent initiatives in standardizing the hardware/software interface to enable software-controlled power management of hardware components.read more
Citations
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Journal ArticleDOI
Adaptive Dynamic Power Management for Non-Stationary Self-Similar Requests
TL;DR: An adaptive control algorithm for DPM of embedded operating system when the idle time length fits Pareto distribution is proposed, which adopts the Trimmed Mean Estimator to realize the robust efficient estimation of the tail index parameter of Pare to distribution for small sample size.
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Energy efficient blind flooding in wireless sensors networks
TL;DR: This work adapts the dynamic power management with scheduled switching modes (DPM-SSM) technique to a blind flooding protocol, and implements a multi-coverage TC solution for computing an energy efficient broadcast backbone.
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User-space APIs for dynamic power management in many-core ARMv8 computing nodes
TL;DR: This work presents a novel programming mechanism for energy efficiency which is build around novel user-space power management APIs suitable to be embedded in user- space applications and evaluated its timing and power saving performance on a novel computing node based on Cavium ThunderX ARMv8-based many-cores SoC.
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Green Software Engineering Environments
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