Permanent link to this recordhttp://hdl.handle.net/10754/564353
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AbstractProtecting the environment by saving energy and thus reducing carbon dioxide emissions is one of todays hottest and most challenging topics. Although the perspective for reducing energy consumption, from ecological and business perspectives is clear, from a technological point of view, the realization especially for mobile systems still falls behind expectations. Novel strategies that allow (software) systems to dynamically adapt themselves at runtime can be effectively used to reduce energy consumption. This paper presents a case study that examines the impact of using an energy management component that dynamically selects and applies the "optimal" sorting algorithm, from an energy perspective, during multi-party mobile communication. Interestingly, the results indicate that algorithmic performance is not key and that dynamically switching algorithms at runtime does have a significant impact on energy consumption. © Springer-Verlag Berlin Heidelberg 2011.
CitationBunse, C., Höpfner, H., Roychoudhury, S., & Mansour, E. (2011). Energy Efficient Data Sorting Using Standard Sorting Algorithms. Software and Data Technologies, 247–260. doi:10.1007/978-3-642-20116-5_19
Conference/Event name4th International Conference on Software and Data Technologies, ICSOFT 2009