Automating energy optimization with features
FOSD '10 Proceedings of the 2nd International Workshop on Feature-Oriented Software Development
GreenSLAs for the energy-efficient management of data centres
Proceedings of the 2nd International Conference on Energy-Efficient Computing and Networking
Energy efficiency of mobile handsets: Measuring user attitudes and behavior
Telematics and Informatics
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Most mobile and embedded devices are battery powered. Hence, their uptime depends on the energy consumption of the used components. Developers made severe effort to optimize hardware components in order to reduce their energy consumption. However, in this paper we show that one also has to consider energy awareness in terms of software. In this study we focus on sorting algorithms, which are not only used directly by the user of a device but also very often implicitly by other algorithms. Our experiments show,that different sorting algorithms consume different amounts of energy. In detail, the experiments show that there is no direct correlation between the time complexity of an algorithm and its energy consumption.