CoolEmAll-Models and tools for optimization of data center energy-efficiency

2012 Sustainable Internet and ICT for Sustainability, SustainIT 2012

Volumn , Issue , 2012, Pages

  Vor Dem Berge, Micha ^a   Christmann, Wolfgang ^a   Volk, Eugen ^b   Wesner, Stefan ^b   Oleksiak, Ariel ^c   Piontek, Tomasz ^c   Da Costa, Georges ^d   Pierson, Jean Marc ^d  

^a Christmann Informationstechnik + Medien ^*  (Germany)

^b UNIVERSITY OF STUTTGART   (Germany)

^c POZNAN SUPERCOMPUTING AND NETWORKING CENTER   (Poland)

^d UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

data centers; energy efficiency; simulations

Indexed keywords

ANALYSIS OF DATA; BUILDING BLOCKES; DATA CENTERS; HIGH QUALITY; IT EQUIPMENT; LOW LEVEL; MANAGEMENT METHOD; SIMULATIONS; VISUALIZATION TOOLS;

COMPUTER SIMULATION; COOLING SYSTEMS; DATA VISUALIZATION; INFORMATION TECHNOLOGY; INTERNET; OPTIMIZATION; SUSTAINABLE DEVELOPMENT;

ENERGY EFFICIENCY;

EID: 84872402855     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Bak, S., Krystek, M. Kurowski, K., Oleksiak, A., Piatek, W., Weglarz, J. (2011). GSSIM-a Tool for Distributed Computing Experiments, Scientific Programming, vol. 19(4), pp. 231-251, 2011
2. M. vor dem Berge, G. Da Costa, A. Kopecki, A. Oleksiak, J-M. Pierson, T. Piontek, E. Volk, and S. Wesner (2012). Modeling and Simulation of Data Center Energy-efficiency in CoolEmAll, to appear in Lecture Notes in Computer Science, vol. 7396
3. Christmann (2009). Description for Resource Efficient Computing System (RECS). http://shared.christmann.info/download/project-recs.pdf
4. Da Costa G., and Pierson J-M. (2011) Characterizing applications from power consumption: A case study for HPC benchmarks. In International Conference on ICT as Key Tech-nology for the Fight against Global Warming, Toulouse, Springer.
5. Da Costa Georges, Hlavacs Helmut, Hummel Karin and Pierson Jean-Marc. (2012) Modeling the Energy Consumption of Distributed Applications. In Handbook of Energy-Aware and Green Computing, Chapman & Hall, CRC Press.
6. A. Kipp, L. Schubert, J. Liu, T. Jiang, W. Christmann, M. vor dem Berge (2011). Energy Consumption Optimisation in HPC Service Centres, Proceedings of the Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering, B.H.V. Topping and P. Ivai ,Anyi, ( Editors), Civil-Comp Press, Stirlingshire, Scotland
7. Kipp, A., Jiang, T., Fugini, M. et al. (2012) Layered Green Performance Indicators, 478-489. In Future Generation Computer Systems 28 (2).
8. Krystek M., Kurowski K., Oleksiak A., Piatek W. (2010). Energy-aware simulations with GSSIM, 1st Year Proceedings of the COST Action IC0804
9. Pierson Jean-Marc (2011) Energy: A New Criteria for Performances in Large Scale Distributed Systems in "Performance Evaluation of Computer and Communication Systems. Milestones and Future Challenges". Lecture Notes in Computer Science, 2011, Volume 6821/2011, 38-48
10. Wierse A., Lang U., and Ruhle R. (1993) A system architecture for data-oriented visualization. In Proceedings of the IEEE Visualization '93 Workshop on Database Issues for Data Visualization, pages 148-159, London, UK, Springer-Verlag.
11. H. G.Weller, G. Tabor, H. Jasak, and C. Fureby. (1998) A tensorial approach to computational continuum mechanics using object-oriented techniques. In Computers in Physics Volume 12, Issue 6, pp. 620-631
12. Volk E., Buchholz J., Wesner S., Koudela D., Schmidt M., et al. (2012) Towards Intelligent Management of Very Large Computing Systems. In Proceedings of the Competence in High Performance Computing 2010.
13. The Common Information Model (CIM) website, http://dmtf.org/standards/cim
14. The Open Compute Project website, http://opencompute.org
15. The Open Product Lifecycle Data Sharing (PLMXML) format, http://www.plm.automation.siemens.com/enus/products/open/plmxml/
16. The Green Grid Data Center Power Efficiency Metrics: PUE and DCiE, http://www.thegreengrid.org/Global/Content/whitepapers/The-Green-Grid-Data- Center-Power-Efficiency-Metrics-PUE-and-DCiE