PROFILING COMPUTER ENERGY CONSUMPTION ON ORGANIZATIONS

Rui Pedro Lopes, Luís Pires, Tiago Pedrosa, Vasile Marian

2009

Abstract

Modern organizations depend on computers to work. Text processing, CAD, CAM, simulation, statistical analysis and so on are fundamental for maintaining high degree of productivity and competitiveness. Computers in an organization, consume a considerable percentage of the overall energy and, although a typical computer provides power saving technologies, such as suspending or hibernating components, this feature can be disabled. Moreover, the user can opt for never turning off the workstation. Well defined power saving policies, with appropriate automatic mechanisms to apply them, can provide significant power savings with consequent reduction of the power expense. With several computers in an organization, it is necessary to build the profile of the energy consumption. We propose installing a software probe in each computer to instrument the power comsumption, either diretly, by using a power meter, or indirectly, by measuring the processor performance counters. This distributed architecture, with software probes in every computer and a centralized server for persistence and decision making tries to save energy, by defining and applying organization level power saving policies.

References

  1. Ashok, R., Chheda, S., and Moritz, C. A. (2004). Coupling compiler-enabled and conventional memory accessing for energy efficiency. ACM Trans. Comput. Syst., 22:180-213.
  2. Bray, M. (2006). Review of computer energy consumption and potential savings.
  3. Diniz, B., Guedes, D., Meira, J. W., and Bianchini, R. (2007). Limiting the power consumption of main memory. In Proceedings of the 34th annual international symposium on Computer architecture, pages 290-301, San Diego, California, USA. ACM.
  4. Hewlett-Packard, Microsoft, Intel, Technologies, P., and Toshiba (2006). Advanced configuration and power interface specification.
  5. Hom, J. and Kremer, U. (2005). Inter-program optimizations for conserving disk energy. In Proceedings of the 2005 international symposium on Low power electronics and design, pages 335-338, San Diego, CA, USA. ACM.
  6. Hsu, C. H. and Kremer, U. (2003). The design, implementation, and evaluation of a compiler algorithm for cpu energy reduction. ACM SIGPLAN Notices, 38:38-48.
  7. Isci, C. and Martonosi, M. (2003). Runtime power monitoring in high-end processors: Methodology and empirical data. In Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture. IEEE Computer Society Washington, DC, USA.
  8. Li, X., Li, Z., David, F., Zhou, P., Zhou, Y., Adve, S., and Kumar, S. (2004). Performance directed energy management for main memory and disks. In Proceedings of the 11th international conference on Architectural support for programming languages and operating systems, pages 271-283, Boston, MA, USA. ACM.
  9. Newsham, G. and Tiller, D. (1994). The energy consumption of desktop computers: measurement and savings potential. Industry Applications, IEEE Transactions on, 30:1065-1072.
  10. Webber, C. A., Roberson, J. A., McWhinney, M. C., Brown, R. E., Pinckard, M. J., and Busch, J. F. (2005). Afterhours power status of office equipment in the usa. Journal: Energy (the International Journal); Journal Volume: 31; Journal Issue: 14; Related Information: Journal Publication Date: 11/2006.
  11. Weiser, M., Welch, B., Demers, A., and Shenker, S. (1996). Scheduling for reduced cpu energy. Kluwer International Series in Engineering and Computer Science, pages 449-472.
  12. Zedlewski, J., Sobti, S., Garg, N., Zheng, F., Krishnamurthy, A., and Wang, R. (2003). Modeling hard-disk power consumption. FAST2003 - 2nd USENIX Conference on File and Storage Technologies.
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Paper Citation


in Harvard Style

Pedro Lopes R., Pires L., Pedrosa T. and Marian V. (2009). PROFILING COMPUTER ENERGY CONSUMPTION ON ORGANIZATIONS . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 4: ICEIS, ISBN 978-989-8111-87-6, pages 171-174. DOI: 10.5220/0002004801710174


in Bibtex Style

@conference{iceis09,
author={Rui Pedro Lopes and Luís Pires and Tiago Pedrosa and Vasile Marian},
title={PROFILING COMPUTER ENERGY CONSUMPTION ON ORGANIZATIONS},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 4: ICEIS,},
year={2009},
pages={171-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002004801710174},
isbn={978-989-8111-87-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 4: ICEIS,
TI - PROFILING COMPUTER ENERGY CONSUMPTION ON ORGANIZATIONS
SN - 978-989-8111-87-6
AU - Pedro Lopes R.
AU - Pires L.
AU - Pedrosa T.
AU - Marian V.
PY - 2009
SP - 171
EP - 174
DO - 10.5220/0002004801710174