D. Agrawal, S. Das, and A. Abbadi, Big data and cloud computing, Proceedings of the VLDB Endowment, vol.3, issue.1-2, pp.1647-1648, 2010.
DOI : 10.14778/1920841.1921063

D. Cerbelaud, S. Garg, and J. Huylebroeck, Opening the clouds: Qualitative overview of the state-of-the-art open source vm-based cloud management platforms, Proceedings of the 10th ACM/IFIP/USENIX International Conference on Middleware, Middleware '09, pp.1-22, 2009.

F. Chang, J. Dean, S. Ghemawat, W. C. Hsieh, D. A. Wallach et al., Bigtable, ACM Transactions on Computer Systems, vol.26, issue.2, pp.4-5, 2008.
DOI : 10.1145/1365815.1365816

F. Chen, J. Grundy, J. Schneider, Y. Yang, and Q. He, Automated analysis of performance and energy consumption for cloud applications, Proceedings of the 5th ACM/SPEC international conference on Performance engineering, ICPE '14, pp.39-50, 2014.
DOI : 10.1145/2568088.2568093

T. Dillon, C. Wu, and E. Chang, Cloud Computing: Issues and Challenges, 2010 24th IEEE International Conference on Advanced Information Networking and Applications, pp.27-33, 2010.
DOI : 10.1109/AINA.2010.187

J. Elson and J. Howell, Handling flash crowds from your garage, USENIX 2008 Annual Technical Conference on Annual Technical Conference, ATC'08, pp.171-184, 2008.

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.31-32, 2013.
DOI : 10.1109/CODES-ISSS.2013.6659018

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
DOI : 10.1109/SC.Companion.2012.132

N. R. Herbst, S. Kounev, and R. Reussner, Elasticity in cloud computing: What it is, and what it is not, Proceedings of the 10th International Conference on Autonomic Computing (ICAC 13), pp.23-27, 2013.

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

A. Lenk, M. Klems, J. Nimis, S. Tai, and T. Sandholm, What's inside the Cloud? An architectural map of the Cloud landscape, 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing, pp.23-31, 2009.
DOI : 10.1109/CLOUD.2009.5071529

H. Liu, C. Xu, H. Jin, J. Gong, and X. Liao, Performance and energy modeling for live migration of virtual machines, Proceedings of the 20th International Symposium on High Performance Distributed Computing, pp.171-182, 2011.

P. M. Mell and T. Grance, Sp 800-145. the nist definition of cloud computing, 2011.

A. Orgerie, M. D. Assuncao, and L. Lefevre, A survey on techniques for improving the energy efficiency of large-scale distributed systems, ACM Computing Surveys, vol.46, issue.4, pp.47-48, 2014.
DOI : 10.1145/2532637
URL : https://hal.archives-ouvertes.fr/hal-00767582

C. Szabo, Q. Sheng, T. Kroeger, Y. Zhang, and J. Yu, Science in the Cloud: Allocation and Execution of Data-Intensive Scientific Workflows, Journal of Grid Computing, vol.26, issue.3???4, pp.245-264, 2014.
DOI : 10.1007/s10723-013-9282-3

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

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