W. Forrest, J. Kaplan, and N. Kindler, Data centers: How to cut carbon emissions and costs, 2008.

J. Koomey, Growth in data center electricity use, 2005.

A. Orgerie, M. D. Assunçao, and L. Lefèvre, A survey on techniques for improving the energy efficiency of large-scale distributed systems, ACM Computing Surveys, vol.46, issue.4, pp.1-4731, 2014.
DOI : 10.1145/2532637
URL : https://hal.archives-ouvertes.fr/hal-00767582

A. Bohra and V. Chaudhary, VMeter: Power Modelling for Virtualized Clouds, IEEE International Symposium on Parallel Distributed Processing (IPDPSW), pp.1-8, 2010.

M. Haque, K. Le, I. Goiri, R. Bianchini, and T. Nguyen, Providing green SLAs in High Performance Computing clouds, 2013 International Green Computing Conference Proceedings, pp.1-11, 2013.
DOI : 10.1109/IGCC.2013.6604503

S. Islam, K. Lee, A. Fekete, and A. Liu, How a consumer can measure elasticity for cloud platforms, Proceedings of the third joint WOSP/SIPEW international conference on Performance Engineering, ICPE '12, pp.85-96, 2012.
DOI : 10.1145/2188286.2188301

A. Orgerie, L. Lefevre, and J. Gelas, Save Watts in Your Grid: Green Strategies for Energy-Aware Framework in Large Scale Distributed Systems, 2008 14th IEEE International Conference on Parallel and Distributed Systems, pp.171-178, 2008.
DOI : 10.1109/ICPADS.2008.97
URL : https://hal.archives-ouvertes.fr/ensl-00474726

X. Zhu, H. Chen, L. Yang, and S. Yin, Energy-Aware Rolling-Horizon Scheduling for Real-Time Tasks in Virtualized Cloud Data Centers, 2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, pp.1119-1126, 2013.
DOI : 10.1109/HPCC.and.EUC.2013.158

Y. Gao, Y. Wang, S. K. Gupta, and M. Pedram, An energy and deadline aware resource provisioning, scheduling and optimization framework for cloud systems, 2013 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), pp.311-3110, 2013.
DOI : 10.1109/CODES-ISSS.2013.6659018

C. Hoffa, G. Mehta, T. Freeman, E. Deelman, K. Keahey et al., On the Use of Cloud Computing for Scientific Workflows, 2008 IEEE Fourth International Conference on eScience, pp.640-645, 2008.
DOI : 10.1109/eScience.2008.167

W. Chen, R. Ferreira-da-silva, E. Deelman, and T. Fahringer, Dynamic and Fault-Tolerant Clustering for Scientific Workflows, IEEE Transactions on Cloud Computing, vol.4, issue.1, pp.1-1, 2015.
DOI : 10.1109/TCC.2015.2427200

D. Ghoshal and L. Ramakrishnan, FRIEDA: Flexible Robust Intelligent Elastic Data Management in Cloud Environments, 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, pp.1096-1105, 2012.
DOI : 10.1109/SC.Companion.2012.132

. Gartner, Gartner Estimates ICT Industry Accounts for 2 Percent of Global CO2 Emissions, 2007.

M. Mills, The Cloud Begins With Coal -Big Data, Big Networks, Big Infrastructure, and Big Power Digital Power Group Unused Servers Survey Results Analysis, 2010.

H. Liu, C. Xu, H. Jin, J. Gong, and X. Liao, Performance and Energy Modeling for Live Migration of Virtual Machines, International Symposium on High Performance Distributed Computing (HPDC), ser. HPDC '11, pp.171-182, 2011.

S. Tesfatsion, E. Wadbro, and J. Tordsson, A combined frequency scaling and application elasticity approach for energy-efficient cloud computing, Sustainable Computing: Informatics and Systems, pp.205-214, 2014.
DOI : 10.1016/j.suscom.2014.08.007

G. B. Berriman, E. Deelman, J. Good, J. Jacob, D. S. Katz et al., Montage: a grid-enabled engine for delivering custom science-grade mosaics on demand, Optimizing Scientific Return for Astronomy through Information Technologies, 2004.
DOI : 10.1117/12.550551