JOURNAL OF COMPUTERS (JCP)
ISSN : 1796-203X
Volume : 3    Issue : 3    Date : March 2008

Energy Driven Application Self-Adaptation at Run-time
Jorgen Peddersen and Sri Parameswaran
Page(s): 14-24
Full Text:
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Abstract
Until recently, there has been a lack of methods to trade-off energy use for quality of service at
run-time in stand-alone embedded systems. Such systems are motivated by the need to increase
the apparent available battery energy of portable devices, with minimal compromise in quality. The
available systems either drew too much power or added considerable overheads due to task
swapping. In this paper, we demonstrate a feasible method to perform these trade-offs. This work
has been enabled by a low impact power/energy estimating processor which utilizes counters to
estimate power and energy consumption at run-time. Techniques are shown that modify
multimedia applications to differ the fidelity of their output to optimize the energy/quality trade-off.
Two adaptation algorithms are applied to multimedia applications demonstrating the efficacy of the
method. The method increases code size by 1% and execution time by 0.02%, yet is able to produce
an output which is acceptable and processes up to double the number of frames.

Index Terms
Power, Energy, Estimation, Application Adaptation, Macro Modeling