Abstract
The energy consumption of a computing system depends not only on its architecture, but also on its usage. This paper describes the Energy Consumption Library (libec), a modular library of sensors and power estimators, which do not depend on wattmeter to measure the power dissipated by a machine and/or the applications that it executes, etc. In addition, four use cases are used to demonstrate some of the library’s capabilities.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Vereecken, W., Van Heddeghem, W., Colle, D., Pickavet, M., Demeester, P.: Overall ICT footprint and green communication technologies. In: 4th International Symposium on Communications, Control and Signal Processing (ISCCSP), pp. 1–6 (March 2010)
Rivoire, S., Ranganathan, P., Kozyrakis, C.: A comparison of high-level full-system power models. In: Proceedings of the 2008 Conference on Power Aware Computing and Systems HotPower’08. USENIX Association, Berkele, p. 3 (2008)
DaCosta, G., Hlavacs, H.: Methodology of measurement for energy consumption of applications. In: 11th IEEE/ACM International Conference on Grid Computing (GRID), pp. 290–297 (October 2010)
Chen, H., Shi, W.: Power measuring and profiling: the state of art. In: Ahmad, I., Ranka, S. (eds.) Handbook of Energy-Aware and Green Computing, pp. 649–674. Chapman and Hall/CRC, Boca Raton (2012)
Witkowski, M., Oleksiak, A., Piontek, T., Wglarz, J.: Practical power consumption estimation for real life HPC applications. Future Gener. Comput. Syst. 29(1), 208–217 (2013)
Cupertino, L.F.: Energy consumption tools web-page (www.irit.fr/~Leandro.Fontoura-Cupertino/ectools/) (April 2013)
Linux man-pages project: perf_event_open(2) (February 2013)
Cappello, F., Caron, E., Dayde, M., Desprez, F., Jegou, Y., Primet, P., Jeannot, E., Lanteri, S., Leduc, J., Melab, N., Mornet, G., Namyst, R., Quetier, B., Richard, O.: Grid’5000: a large scale and highly reconfigurable grid experimental testbed. In: The 6th IEEE/ACM International Workshop on Grid Computing, p. 8. IEEE (2005)
Christmann: Description for Resource Efficient Computing System (RECS) (2009)
Cupertino, L.F., DaCosta, G., Sayah, A., Pierson, J.M.: Valgreen: an application’s energy profiler. In: Conference on Soft Computing and Soft Engineering (SCSE) (2013)
Acknowledgments
The results presented in this paper were funded by the European Commission under contract 288701 through the project CoolEmAll and by the COST (European Cooperation in Science and Technology) framework under Action IC0804.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cupertino, L.F., Da Costa, G., Sayah, A., Pierson, JM. (2013). Energy Consumption Library. In: Pierson, JM., Da Costa, G., Dittmann, L. (eds) Energy Efficiency in Large Scale Distributed Systems. EE-LSDS 2013. Lecture Notes in Computer Science(), vol 8046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40517-4_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-40517-4_4
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40516-7
Online ISBN: 978-3-642-40517-4
eBook Packages: Computer ScienceComputer Science (R0)