CHOOSING THE ”BEST” SORTING ALGORITHM FOR OPTIMAL ENERGY CONSUMPTION

Christian Bunse, Hagen Höpfner, Suman Roychoudhury, Essam Mansour

2009

Abstract

Reducing the energy consumption of mobile systems in order to prolong their operating time has been an active research topic for quite some time. Such systems are typically battery powered and thus, their uptime depends on the energy consumption of the used hardware and software components. Novel strategies that allow software systems to dynamically adapt themselves at runtime can be effectively used to reduce energy consumption. The focus of this paper is based on a case study that uses an energy management component that can dynamically choose the “best” sorting algorithm during a multi-party mobile communication. The results indicate that Insertionsort is the most optimal sorting algorithm when in comes to saving energy.

Paper Citation

in Harvard Style

Bunse C., Höpfner H., Roychoudhury S. and Mansour E. (2009). CHOOSING THE ”BEST” SORTING ALGORITHM FOR OPTIMAL ENERGY CONSUMPTION . In Proceedings of the 4th International Conference on Software and Data Technologies - Volume 2: ICSOFT, ISBN 978-989-674-010-8, pages 199-206. DOI: 10.5220/0002245401990206

in Bibtex Style

@conference{icsoft09,
author={Christian Bunse and Hagen Höpfner and Suman Roychoudhury and Essam Mansour},
title={CHOOSING THE ”BEST” SORTING ALGORITHM FOR OPTIMAL ENERGY CONSUMPTION},
booktitle={Proceedings of the 4th International Conference on Software and Data Technologies - Volume 2: ICSOFT,},
year={2009},
pages={199-206},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002245401990206},
isbn={978-989-674-010-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Software and Data Technologies - Volume 2: ICSOFT,
TI - CHOOSING THE ”BEST” SORTING ALGORITHM FOR OPTIMAL ENERGY CONSUMPTION
SN - 978-989-674-010-8
AU - Bunse C.
AU - Höpfner H.
AU - Roychoudhury S.
AU - Mansour E.
PY - 2009
SP - 199
EP - 206
DO - 10.5220/0002245401990206