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Abstract

In the recent years the performance of computation systems is not rated only by their FLOPS anymore but also by their power consumption. With the aim to design energy aware computing systems and software, monitoring systems have to be used to gather information on the power consumption. By making improvements to the existing ArduPower platform, a highly modular, efficient and easy to use internal power monitoring system is build and tested. After evaluating different aspects of power monitoring systems, the hardware design of a probe based, self-configuring system is described utilizing probes for current measurement and a shield for the Arduino Mega 2560. For increased efficiency in data transmission a sophisticated protocol is designed to ensure the highest possible sampling rates and enable detailed analysis of a system's power consumption.

BibTeX

@misc{OAB18,
	author	 = {Daniel Bremer},
	title	 = {{Optimizing ArduPower}},
	advisors	 = {Michael Kuhn and Mohammad Reza Heidari},
	year	 = {2018},
	month	 = {03},
	school	 = {Universität Hamburg},
	howpublished	 = {{Online \url{https://wr.informatik.uni-hamburg.de/_media/research:theses:daniel_bremer_optimizing_ardupower.pdf}}},
	type	 = {Bachelor's Thesis},
	abstract	 = {In the recent years the performance of computation systems is not rated only by their FLOPS anymore but also by their power consumption. With the aim to design energy aware computing systems and software, monitoring systems have to be used to gather information on the power consumption. By making improvements to the existing ArduPower platform, a highly modular, efficient and easy to use internal power monitoring system is build and tested. After evaluating different aspects of power monitoring systems, the hardware design of a probe based, self-configuring system is described utilizing probes for current measurement and a shield for the Arduino Mega 2560. For increased efficiency in data transmission a sophisticated protocol is designed to ensure the highest possible sampling rates and enable detailed analysis of a system's power consumption.},
}

publication.txt · Last modified: 2019-01-23 10:26 by 127.0.0.1

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