Energieeffiziente Software-Systeme

1. Hüls, T.: Optimizing the energy consumption of an MPEG application. Master’s thesis, Technical University of Dortmund, Fakultät für Informatik (2002)

   Google Scholar 

2. Marwedel, P.: Embedded System Design. Springer (2007)

   Google Scholar 

3. Veijalainen, J., Ojanen, E., Haq, M.A., Vahteala, V.P., Matsumoto, M.: Energy Consumption Tradeoffs for Compressed Wireless Data at a Mobile Terminal. IEICE Transactions on Communications E87-B (2004) 1123–1130

   Google Scholar 

4. Kansal, A., Zhao, F.: Fine-grained energy profiling for power-aware application design. ACM SIGMETRICS Performance Evaluation Review 36 (2008) 26–31

   Article  Google Scholar 

5. Seo, C, Malek, S., Medvidovic, N.: Component-Level Energy Consumption Estimation for Distributed Java-Based Software Systems. In: Proc. of the 11th Int. Symp. on Component-Based Software Engineering. Volume 5282 of LNCS., Springer (2008) 97–113

   Google Scholar 

6. Schall, D.: Energieeffizienz in Datenbanken — Entwurf einer Mess-und Auswertungsumgebung. Master’s thesis, Technische Universität Kaiserslautern (2009)

   Google Scholar 

7. Höpfner, H., Bunse, C: Energy Aware Data Management on AVR Micro Controller Based Systems. ACM SIGSOFT Software Engineering Notes 35 (2010)

   Google Scholar 

8. Höpfner, H., Bunse, C: Towards an energy-consumption based complexity classification for resource substitution strategies. In: Proc. of the 22. Workshop on Foundations of Databases. Volume 581 of CEUR. (2010)

   Google Scholar 

9. Bunse, C, Groß, H.G., Peper, C: Applying a model-based approach for embedded system development. In: EUROMICRO-SEAA, IEEE Computer Society (2007) 121–128

   Google Scholar 

10. Roychoudhury, S., Bunse, C, Höpfner, H.: Applying State-of-the-Art Techniques for Embedded System Adaptation. In: Proc. of the 4th Int. Conf. on Software and Data Technologie. Vol. 1, INSTICC press (2009) 305–308

    Google Scholar 

11. Bunse, C, Höpfner, H.: Resource substitution with components — Optimizing Energy Consumption. In: Proc. of the 3rd Int. Conf. on Software and Data Technologie. Volume SE/GSDCA/MUSE., INSTICC press (2008) 28–35

    Google Scholar 

12. Bunse, C, Höpfner, H., Mansour, E., Roychoudhury, S.: Exploring the Energy Consumption of Data Sorting Algorithms in Embedded and Mobile Environments. In: Proc. of the 10th Int. Conf. on Mobile Data Management: Systems, Services and Middleware, IEEE Computer Society (2009) 600–607

    Google Scholar 

13. Bortz, J., Döring, N.: Forschungsmethoden und Evaluation: für Human-und Sozialwissenschaftler. 4., überarb. Springer (2006)

    Google Scholar 

14. Nieberg, T., Dulman, S., Havinga, P., van Hoesel, L., Wu, J.: Collaborative algorithms for communication in wireless sensor networks. In: Ambient intelligence: impact on embedded system design. Kluwer Academic Publishers (2003) 271–294

    Google Scholar 

15. Sabil, S., Jawawi, D.N.A.: Integration of PECOS into MARMOT for Embedded Real Time Software Component-Based Development. In: Proc. of the 4th Int. Conf. on Software Engineering Advances, IEEE Computer Society (2009) 265–270

    Google Scholar 

16. Domis, D.: Komponentenbasierte Energiemodellierung am Beispiel eines Ambient Intelligence Systems. Master’s thesis, Technical University Kaiserslautern (2006)

    Google Scholar 

17. Medina, J.L., Harbour, M.G., Drake, J.M.: The “UML profile for schedulability, performance and time” in the schedulability analysis and modeling of real-time distributed systems (2004)

    Google Scholar 

18. Becker, S., Koziolek, H., Reussner, R.: The palladio component model for model-driven performance prediction. Journal of Systems and Software 82 (2009) 3–22

    Article  Google Scholar 

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