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Dates and Events:

OSADL Articles:

2023-11-12 12:00

Open Source License Obligations Checklists even better now

Import the checklists to other tools, create context diffs and merged lists

2023-03-01 12:00

Embedded Linux distributions

Results of the online "wish list"

2022-01-13 12:00

Phase #3 of OSADL project on OPC UA PubSub over TSN successfully completed

Another important milestone on the way to interoperable Open Source real-time Ethernet has been reached

2021-02-09 12:00

Open Source OPC UA PubSub over TSN project phase #3 launched

Letter of Intent with call for participation is now available

Real Time Linux Workshops

1999 - 2000 - 2001 - 2002 - 2003 - 2004 - 2005 - 2006 - 2007 - 2008 - 2009 - 2010

Eighth Real-Time Linux Workshop on October 12 to 15, 2006, in Lanzhou, Gansu, P.R.China

A New Dynamic Frequency Scaling Algorithm for Power-Aware And Real-Time System

Chen Tianzhou, Qian Jie, Shi Qingsong, and Huang Jiangwei
Zhejiang University
Intel-ZJU Embedded Technology Center, College of Computer Science And Technology

Scalability of the core frequency is a common feature of low-power processor architectures. Many methods for frequency scaling have been proposed to find the best trade-off between energy efficiency and computational performance. Embedded hardware monitors in the form of event counters have proven to offer valuable information in the field of performance analysis. We can get some clues from that, this will be helpful for us to find the target frequency.

In this paper, we introduce a new algorithm to obtain the target frequency which benefit from the performance monitor counters. And once the system information changes, which means we can change the core frequency to perform at a lower power consumption, the core frequency will be changed through our method in the next time slice.

Experimental results, based on measurements on the platform with Intel pxa255 processor, show that significant energy savings are achieved with little performance degradation. With some good situations the energy savings can go up to about 10\% (with little performance loss). The proposed algorithm is effective in the power-aware and real time system.


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