Abstract
In this paper we present an overview of the CoolEmAll project which addresses the important problem of data center energy efficiency. To this end, CoolEmAll aims at delivering advanced simulation, visualization and decision support tools along with open models of data center building blocks to be used in simulations. Both building blocks and the toolkit will take into account aspects that have major impact on actual energy consumption such as cooling solutions, properties of applications, and workload and resource management policies. In the paper we describe the CoolEmAll approach, its expected results and an environment for their verification.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bak, S., Krystek, M., Kurowski, K., Oleksiak, A., Piatek, W., Weglarz, J.: GSSIM - a Tool for Distributed Computing Experiments. Scientific Programming 19(4), 231–251 (2011)
Hintemann, R., Fichter, K.: Materialbestand der Rechenzentren in Deutschland, Eine Bestandsaufnahme zur Ermittlung von Ressourcen- und Energieeinsatz, UBA, Texte, 55/2010 (2010)
Christmann: Description for Resource Efficient Computing System (RECS) (2009), http://shared.christmann.info/download/project-recs.pdf
Da Costa, G., Pierson, J.-M.: Characterizing Applications from Power Consumption: A Case Study for HPC Benchmarks. In: Kranzlmüller, D., Toja, A.M. (eds.) ICT-GLOW 2011. LNCS, vol. 6868, pp. 10–17. Springer, Heidelberg (2011)
Da Costa, G., Hlavacs, H., Hummel, K., Pierson, J.-M.: Modeling the Energy Consumption of Distributed Applications. In: Handbook of Energy-Aware and Green Computing. Chapman & Hall, CRC Press (2012)
Kipp, A., Schubert, L., Liu, J., Jiang, T., Christmann, W., vor dem Berge, M.: Energy Consumption Optimisation in HPC Service Centres. In: Topping, B.H.V., Ivanyi, P. (eds.) Proceedings of the Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering. Civil-Comp Press, Stirlingshire (2011)
Kipp, A., Jiang, T., Fugini, M., et al.: Layered Green Performance Indicators. Future Generation Computer Systems 28(2), 478–489 (2012)
Koomey, J.: Worldwide electricity used in data centers. Environmental Research Letters 3(034008) (September 23, 2008)
Krystek, M., Kurowski, K., Oleksiak, A., Piatek, W.: Energy-aware simulations with GSSIM. In: 1st Year Proceedings of the COST Action IC0804 (2010)
Kurowski, K., Oleksiak, A., Piatek, W., Weglarz, J.: Hierarchical Scheduling Strategies for Parallel Tasks and Advance Reservations in Grids. Journal of Scheduling 11(14), 1–20 (2011), doi:10.1007/s10951-011-0254-9
Pierson, J.-M.: Energy: A New Criteria for Performances in Large Scale Distributed Systems. In: Hummel, K.A., Hlavacs, H., Gansterer, W. (eds.) PERFORM 2010. LNCS, vol. 6821, pp. 38–48. Springer, Heidelberg (2011)
Wierse, A., Lang, U., Rühle, R.: A System Architecture for Data-Oriented Visualization. In: Lee, J.P., Grinstein, G.G. (eds.) Visualization-WS 1993. LNCS, vol. 871, pp. 148–159. Springer, Heidelberg (1994)
Weller, H.G., Tabor, G., Jasak, H., Fureby, C.: A tensorial approach to computational continuum mechanics using object-oriented techniques. Computers in Physics 12(6), 620–631 (1998)
Volk, E., Buchholz, J., Wesner, S., Koudela, D., Schmidt, M., et al.: Towards Intelligent Management of Very Large Computing Systems. In: Proceedings of the Competence in High Performance Computing 2010 (2012)
Berl, A., Gelenbe, E., di Girolamo, M., Giuliani, G., de Meer, H., Dang, M.-Q., Pentikousis, K.: Energy-Efficient Cloud Computing. The Computer Journal 53(7) (2010)
Gelenbe, E., Morfopoulou, C.: Power savings in packet networks via optimised routing. Mobile Networks and Applications 17(1), 152–159 (2012)
Klingert, S., Schulze, T., Bunse, C.: GreenSLAs for the Energy-efficient Management of Data Centres. In: 2nd International Conference on Energy-Efficient Computing and Networking, e-Energy (2011)
CoolEmAll Report D3.1: First definition of the flexible rack-level ComputeBox with integrated cooling, http://coolemall.eu
Colt Modular Data Centre, http://www.colt.net/uk/en/products-services/data-centre-services/modular-data-centre-en.html
The CoolEmAll project website, http://coolemall.eu
EcoCooling, http://www.ecocooling.org
The MontBlanc project website, http://www.montblanc-project.eu/
The Green Grid Data Center Power Efficiency Metrics: PUE and DCiE, http://www.thegreengrid.org/Global/Content/white-papers/The-Green-Grid-Data-Center-Power-Efficiency-Metrics-PUE-and-DCiE
SGI ICE Cube Air, http://www.sgi.com/products/data_center/ice_cube_air/
TIMaCS (Tools for Intelligent Management of very large Computing Systems) project website, http://www.timacs.de
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
vor dem Berge, M. et al. (2012). Modeling and Simulation of Data Center Energy-Efficiency in CoolEmAll. In: Huusko, J., de Meer, H., Klingert, S., Somov, A. (eds) Energy Efficient Data Centers. E2DC 2012. Lecture Notes in Computer Science, vol 7396. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33645-4_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-33645-4_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33644-7
Online ISBN: 978-3-642-33645-4
eBook Packages: Computer ScienceComputer Science (R0)