Automating energy optimization with features

Proceedings of the 2nd International Workshop on Feature-Oriented Software Development, FOSD'10

Volumn , Issue , 2010, Pages 2-9

  Siegmund, Norbert ^a   Rosenmüller, Marko ^a   Apel, Sven ^b  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

^b UNIVERSITY OF PASSAU   (Germany)

Author keywords

energy consumption; feature oriented programming; software product lines

Indexed keywords

ASPECT-ORIENTED; BATTERY POWER; CELL PHONE; CLIENT PROGRAMS; ENERGY CONSUMPTION; ENERGY FEATURE; ENERGY OPTIMIZATION; ENERGY SAVING; FEATURE-ORIENTED PROGRAMMING; HARDWARE COMPONENTS; OPERATING SYSTEMS; OPTIMIZATION FEATURES; POWER CONSUMPTION; SOFTWARE PRODUCT LINE; SOURCE CODES;

COMPUTER OPERATING SYSTEMS; ENERGY CONSERVATION; ENERGY UTILIZATION; MOBILE DEVICES; OPTIMIZATION;

SOFTWARE DESIGN;

EID: 78751685330     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1868688.1868690     Document Type: Conference Paper

References (41)

1. S. Apel, T. Leich, M. Rosenmüller, and G. Saake. FeatureC++: On the Symbiosis of Feature-Oriented and Aspect-Oriented Programming. In Proceedings of the International Conference on Generative Programming and Component Engineering (GPCE), volume 3676 of Lecture Notes in Computer Science, pages 125-140. Springer-Verlag, Sept. 2005.
2. S. Apel, T. Leich, and G. Saake. Aspectual feature modules. IEEE Transactions on Software Engineering (TSE), 34(2):162-180, 2008.
3. A. Azevedo, I. Issenin, R. Cornea, R. Gupta, N. Dutt, A. Veidenbaum, and A. Nicolau. Profile-based dynamic voltage scheduling using program checkpoints. In Proceedings of the International Conference on Design, automation and test in Europe, page 168. IEEE Computer Society, 2002.
4. L. A. Barroso. The price of performance. Queue, 3(7):48-53, 2005.
5. D. Batory, J. N. Sarvela, and A. Rauschmayer. Scaling Step-Wise Refinement. IEEE Transactions on Software Engineering (TSE), 30(6):355-371, 2004.
6. L. Becchetti, A. Marchetti-Spaccamela, A. Vitaletti, P. Korteweg, M. Skutella, and L. Stougie. Latency-constrained aggregation in sensor networks. ACM Trans. Algorithms, 6(1):1-20, 2009.
7. C. Belady. In the data center, power and cooling costs more than the it equipment it supports. Electronics Cooling, 13(1), 2007.
8. C. Bunse, H. Hopfner, E. Mansour, and S. Roychoudhury. Exploring the energy consumption of data sorting algorithms in embedded and mobile environments. In Proceedings of the International Conference on Mobile Data Management: Systems, Services and Middleware, pages 600-607. IEEE Computer Society, 2009.
9. C. Bunse, H. Höpfner, S. Roychoudhury, and E. Mansour. Choosing the "best" sorting algorithm for optimal energy consumption. In Proceedings of the International Conference on Software and Data Technologies (ICSOFT), pages 199-206, 2009.
10. K. Chantarasathaporn and C. Srisa-an. Object-oriented programming strategies in c# for power conscious system. International Journal of Computer Science {Online}, 1(1), 2006.
11. A. Chatzigeorgiou and G. Stephanides. Energy metric for software systems. Software Quality Control, 10(4):355-371, 2002.
12. P. Clements and L. Northrop. Software Product Lines: Practices and Patterns. Addison-Wesley, 2002.
13. K. D. Cooper, D. Subramanian, and L. Torczon. Adaptive optimizing compilers for the 21st century. J. Supercomput., 23(1):7-22, 2002.
14. K. Czarnecki and U. Eisenecker. Generative Programming: Methods, Tools, and Applications. Addison-Wesley, 2000.
15. Y. Fei, S. Ravi, A. Raghunathan, and N. K. Jha. Energy-optimizing source code transformations for operating system-driven embedded software. ACM Trans. Embed. Comput. Syst., 7(1):1-26, 2007.
16. S. V. Gheorghita, H. Corporaal, and T. Basten. Iterative compilation for energy reduction. J. Embedded Comput., 1(4):509-520, 2005.
17. W. Gilani and O. Spinczyk. Dynamic Aspect Weaver Family for Family-based Adaptable Systems. In Proceedings of Net.ObjectDays, pages 94-109. Gesellschaft für Informatik, 2005.
18. Global Action Plan. An inefficient truth (white paper), 2007. http://greenict.org.uk/sites/default/files/An%20Inefficient%20Truth%20- %20Full%20Report.pdf.
19. A. Grover. Modern system power management. Queue, 1(7):66-72, 2003.
20. I. Hong and M. Potkonjak. Power optimization in disk-based real-time application specific systems. In Proceedings of the International Conference on Computer-aided design, pages 634-637. IEEE Computer Society, 1996.
21. T. Ishihara and H. Yasuura. Voltage scheduling problem for dynamically variable voltage processors. In Proceedings of the International Symposium on Low power electronics and design, pages 197-202. ACM, 1998.
22. K. Kang, S. Cohen, J. Hess, W. Novak, and A. Peterson. Feature-Oriented Domain Analysis (FODA) Feasibility Study. Technical Report CMU/SEI-90-TR-21, Software Engineering Institute, Carnegie Mellon University, 1990.
23. G. Kiczales, J. Lamping, A. Mendhekar, C. Maeda, C. V. Lopes, J.-M. Loingtier, and J. Irwin. Aspect-Oriented Programming. In Proceedings of the European Conference on Object-Oriented Programming (ECOOP), volume 1241 of Lecture Notes in Computer Science, pages 220-242. Springer-Verlag, 1997.
24. P. Korteweg, A. Marchetti-Spaccamela, L. Stougie, and A. Vitaletti. Data aggregation in sensor networks: Balancing communication and delay costs. Theor. Comput. Sci., 410(14):1346-1354, 2009.
25. M. S. Lane, A. Howard, and S. Howard. The energy inefficiency of office computing and potential emerging technology solutions. Journal of Issues in Informing Science & Information Technology, 6:795-808, 2009.
26. Y. Li and J. Henkel. A framework for estimating and minimizing energy dissipation of embedded hw/sw systems. pages 259-264, 2002.
27. A. Nicoara, G. Alonso, and T. Roscoe. Controlled, systematic, and efficient code replacement for running java programs. SIGOPS Operating Systems Review, 42(4):233-246, 2008.
28. M. Pedram. Power optimization and management in embedded systems. In Proceedings of the Asia and South Pacific Design Automation Conference, pages 239-244. ACM, 2001.
29. T. Pering, T. Burd, and R. Brodersen. The simulation and evaluation of dynamic voltage scaling algorithms. In Proceedings of the International Symposium on Low power electronics and design, pages 76-81. ACM, 1998.
30. P. Pillai and K. G. Shin. Real-time dynamic voltage scaling for low-power embedded operating systems. In Proceedings of the ACM Symposium on Operating Systems Principles, pages 89-102. ACM, 2001.
31. J. Pisharath, A. Choudhary, and M. Kandemir. Reducing energy consumption of queries in memory-resident database systems. In Proceedings of the International Conference on Compilers, architecture, and synthesis for embedded systems, pages 35-45. ACM, 2004.
32. C. Poellabauer, T. Zhang, S. Pande, and K. Schwan. K.: An efficient frequency scaling approach for energy-aware embedded real-time systems. In Proceedings of the International Conference on Architecture of Computing Systems, 2005.
33. M. Poess and R. O. Nambiar. Energy cost, the key challenge of today's data centers: a power consumption analysis of tpc-c results. Proc. VLDB Endow., 1(2):1229-1240, 2008.
34. K. Pohl, G. Böckle, and F. van der Linden. Software Product Line Engineering: Foundations, Principles and Techniques. Springer-Verlag, 2005.
35. C. Prehofer. Feature-Oriented Programming: A Fresh Look at Objects. In Proceedings of the European Conference on Object-Oriented Programming (ECOOP), volume 1241 of Lecture Notes in Computer Science, pages 419-443. Springer-Verlag, 1997.
36. S. Rivoire, M. A. Shah, P. Ranganathan, and C. Kozyrakis. Joulesort: a balanced energy-efficiency benchmark. In Proceedings of the International Conference on Management of Data, pages 365-376. ACM Press, 2007.
37. E. Saxe. Power-efficient software. Queue, 8(1):10-17, 2010.
38. V. Tiwari, S. Malik, and A. Wolfe. Compilation techniques for low energy: An overview. In Proceedings of Symposium on Low Power Electronics, pages 38-39, 1994.
39. H. Tomiyama, T. Ishihara, A. Inoue, and H. Yasuura. Instruction scheduling for power reduction in processor-based system design. In Proceedings of the International Conference on Design, automation and test, pages 855-860. IEEE Computer Society, 1998.
40. M. A. Viredaz, L. S. Brakmo, and W. R. Hamburgen. Energy management on handheld devices. Queue, 1(7):44-52, 2003.
41. T. Yokoyama, G. Zeng, H. Tomiyama, and H. Takada. Analyzing and optimizing energy efficiency of algorithms on dvs systems a first step towards algorithmic energy minimization. In Proceedings of the Asia and South Pacific Design Automation Conference, pages 727-732. IEEE Press, 2009.