Dynamic power management framework for multi-core portable embedded system

Author(s):  
Chen Tianzhou ◽  
Huang Jiangwei ◽  
Xiang Lingxiang ◽  
Shi Qingsong
2011 ◽  
Vol 268-270 ◽  
pp. 540-545 ◽  
Author(s):  
Fa Gui Liu ◽  
Xiao Yong Xing ◽  
Ze Xiang Wu

The energy consumption of WLAN card makes up a significant proportion in the embedded system, which makes the effective power management on WLAN card play an important role on energy-saving and WLAN card longevity. This paper introduces a method of dynamic power management for WLAN card: manipulating the WLAN card driver to achieve the transition state of the WLAN card, acquiring WLAN card load which ultimately achieves the dynamic power management optimization algorithm. The experiment is presented to prove the feasibility of the implementation for the purpose of energy consumption saving on WLAN card.


2013 ◽  
Vol 325-326 ◽  
pp. 916-921 ◽  
Author(s):  
Jing Chen ◽  
Yu Yung Ke

As mobile devices of embedded systems prevail in our daily life, energy saving emerges as one very important issue and power management techniques are desirable. This paper presents the design and the implementation of a dynamic power management mechanism (DPMM) for embedded systems running micro-kernel operating systems. The DPMM is composed of policy manager, DVFS (Dynamic Voltage Frequency Scaling) controller, DPM (Dynamic Power Management) server, resource management flags, and DPM library. They are imple-mented to execute on an embedded system platform equipped with an XScale PXA270 processor and various I/O interfaces or devices running Zinix micro-kernel operating system. Testing results indicate that this DPMM effectively achieves power management in the system.


2005 ◽  
Vol 14 (05) ◽  
pp. 987-996 ◽  
Author(s):  
LAKSHMI PRABHA VISWANATHAN ◽  
ELWIN CHANDRA MONIE

Power is increasingly becoming a design constraint for embedded systems. Dynamic Power Management algorithms enable optimal utilization of hardware at runtime. The present work attempts to arrive at an optimal policy to reduce the energy consumption at system level, by selectively placing components into low power states. A new, simple algorithm for power management systems involving multiple requests and services, proposed here, has been obtained from stochastic queuing models. The proposed policy is event driven and based on a Deterministic Markov Nonstationary Policy model (DMNSP). The proposed policy has been tested using a Java-based event driven simulator. The test results show that there is about 23% minimum power saving over the existing schemes with less impact on performance or reliability.


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