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Authors: Christian Bunse ; Hagen Höpfner ; Suman Roychoudhury and Essam Mansour

Affiliation: International University in Germany, Germany

Keyword(s): Energy awareness, Software engineering, Adaptivity, Mobile information systems.

Related Ontology Subjects/Areas/Topics: Business Analytics ; Communication and Software Technologies and Architectures ; Data and Information Retrieval ; Data Engineering ; Data Management and Quality ; Data Storage and Query Processing ; Data Warehouses and Data Mining ; e-Business ; Enterprise Information Systems

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.

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Paper citation in several formats:
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; ISSN 2184-2833, SciTePress, pages 199-206. DOI: 10.5220/0002245401990206

@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},
issn={2184-2833},
}

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
IS - 2184-2833
AU - Bunse, C.
AU - Höpfner, H.
AU - Roychoudhury, S.
AU - Mansour, E.
PY - 2009
SP - 199
EP - 206
DO - 10.5220/0002245401990206
PB - SciTePress

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