G. Cook, How clean is your cloud Catalysing an energy revolution, p.11, 2012.

E. Espagne, Climate finance at cop21 and after: Lessons learnt. CEPII, Policy Brief, issue.9, p.2016

N. Rasmussen, Determining total cost of ownership for data center and network room infrastructure

S. Robert, . Kaplan, P. David, and . Norton, Using the balanced scorecard as a strategic management system, 1996.

D. Balouek-thomert, E. Caron, and L. Lefevre, Energy-Aware Server Provisioning by Introducing Middleware-Level Dynamic Green Scheduling, 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015.
DOI : 10.1109/IPDPSW.2015.121
URL : https://hal.archives-ouvertes.fr/hal-01196908

D. Balouek-thomert, A. K. Bhattacharya, E. Caron, G. Karunakar, and L. Lefèvre, Parallel differential evolution approach for cloud workflow placements under simultaneous optimization of multiple objectives, 2016 IEEE Congress on Evolutionary Computation (CEC), 2016.
DOI : 10.1109/CEC.2016.7743876
URL : https://hal.archives-ouvertes.fr/hal-01289176

D. Balouek-thomert, E. Caron, P. Gallard, and L. Lefèvre, Nu@ge: Towards a solidary and responsible cloud computing service, 2015 International Conference on Cloud Technologies and Applications (CloudTech), 2015.
DOI : 10.1109/CloudTech.2015.7337006
URL : https://hal.archives-ouvertes.fr/hal-01196898

D. Balouek-thomert, E. Caron, P. Gallard, and L. Lefèvre, Nu@ge: A container-based cloud computing service federation, Concurrency and Computation: Practice and Experience (CCPE), p.2016
DOI : 10.1002/cpe.4049

M. James, W. Kaplan, N. Forrest, and . Kindler, Revolutionizing data center energy efficiency, 2008.

E. Commission, Code of conduct on data centres energy efficiency (version 2): Endorser guidelines and registration forms, 2009.

A. Rawson, T. Pfleuger, and . Cader, Data center power efficiency metrics: Pue and dcie. The Green Grid, p.120, 2007.

J. Shuja, K. Bilal, S. A. Madani, U. Samee, and . Khan, Data center energy efficient resource scheduling, Cluster Computing, vol.32, issue.6, pp.1265-1277, 2014.
DOI : 10.1007/s10586-014-0365-0

R. Brown, Report to congress on server and data center energy efficiency: Public law 109-431, 2008.

T. Daim, J. Justice, M. Krampits, M. Letts, G. Subramanian et al., Data center metrics, Management of Environmental Quality: An International Journal, vol.20, issue.6, pp.712-731, 2009.
DOI : 10.1108/14777830910990870

A. Gemma, . Brady, K. Nikil, L. Jonathan, . Summers et al., A case study and critical assessment in calculating power usage effectiveness for a data centre. Energy conversion and management, pp.155-161, 2013.

G. Khanna, K. Beaty, G. Kar, and A. Kochut, Application Performance Management in Virtualized Server Environments, 2006 IEEE/IFIP Network Operations and Management Symposium NOMS 2006, pp.373-381, 2006.
DOI : 10.1109/NOMS.2006.1687567

R. Giladi, Evaluating the Mflops measure, IEEE Micro, vol.16, issue.4, pp.69-75, 1996.
DOI : 10.1109/40.526927

K. Wu-chun-feng and . Cameron, The Green500 List: Encouraging Sustainable Supercomputing, Computer, vol.40, issue.12, pp.50-55, 2007.
DOI : 10.1109/MC.2007.445

J. Jack, P. Dongarra, A. Luszczek, and . Petitet, The linpack benchmark: past, present and future. Concurrency and Computation: practice and experience, pp.803-820, 2003.

C. Hsu, Towards efficient supercomputing, Proceedings of the third joint WOSP/SIPEW international conference on Performance Engineering, ICPE '12, p.8, 2005.
DOI : 10.1145/2188286.2188309

B. Subramaniam and W. Feng, The Green Index: A Metric for Evaluating System-Wide Energy Efficiency in HPC Systems, 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum, pp.1007-1013, 2012.
DOI : 10.1109/IPDPSW.2012.123

A. Castagnetti, C. Belleudy, S. Bilavarn, and M. Auguin, Power Consumption Modeling for DVFS Exploitation, 2010 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, pp.579-586, 2010.
DOI : 10.1109/DSD.2010.55
URL : https://hal.archives-ouvertes.fr/hal-00663140

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

X. Fan, W. Weber, and L. A. Barroso, Power provisioning for a warehouse-sized computer, ACM SIGARCH Computer Architecture News, vol.35, issue.2, pp.13-23, 2007.
DOI : 10.1145/1273440.1250665
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.1279

A. Merkel and F. Bellosa, Balancing power consumption in multiprocessor systems, ACM SIGOPS Operating Systems Review, vol.40, issue.4, pp.403-414, 2006.
DOI : 10.1145/1218063.1217974

P. Hernandez, Microsoft joulemeter: Using software to green the data center, 2010.

A. Bourdon, A. Noureddine, R. Rouvoy, and L. Seinturier, Powerapi: A software library to monitor the energy consumed at the processlevel, ERCIM News, issue.92, pp.2013-2013
URL : https://hal.archives-ouvertes.fr/hal-00772454

B. Jennings and R. Stadler, Resource Management in Clouds: Survey and Research Challenges, Journal of Network and Systems Management, vol.12, issue.1, pp.567-619, 2015.
DOI : 10.1007/s10922-014-9307-7

E. Amazon, Amazon elastic compute cloud (amazon ec2) Amazon Elastic Compute Cloud (Amazon EC2), 2010.

M. Randles, D. Lamb, and A. Taleb-bendiab, A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing, 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops, pp.551-556, 2010.
DOI : 10.1109/WAINA.2010.85

J. Hu, J. Gu, G. Sun, and T. Zhao, A scheduling strategy on load balancing of virtual machine resources in cloud computing environment, 3rd International symposium on parallel architectures, algorithms and programming, pp.89-96, 2010.

A. Beloglazov, J. Abawajy, and R. Buyya, Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Future generation computer systems, pp.755-768, 2012.

A. Sidhu and S. Kinger, Analysis of load balancing techniques in cloud computing, International Journal of Computers & Technology, vol.4, issue.2, pp.737-778, 2013.

W. Zhao, P. Melliar-smith, and L. E. Moser, Fault Tolerance Middleware for Cloud Computing, 2010 IEEE 3rd International Conference on Cloud Computing, pp.67-74, 2010.
DOI : 10.1109/CLOUD.2010.26

A. Bala and I. Chana, Fault tolerance-challenges, techniques and implementation in cloud computing, IJCSI International Journal of Computer Science Issues, vol.9, issue.1, pp.1694-0814, 2012.

M. Pawlish, S. Aparna, . Varde, A. Stefan, and . Robila, Analyzing utilization rates in data centers for optimizing energy management, 2012 International Green Computing Conference (IGCC), pp.1-6, 2012.
DOI : 10.1109/IGCC.2012.6322248

J. Whitney and P. Delforge, Data center efficiency assessment?scaling up energy efficiency across the data center industry: Evaluating key drivers and barriers, NRDC and Anthesis, Rep. IP, pp.14-22, 2014.

A. Orgerie and L. Lefèvre, When clouds become green: the green open cloud architecture, International Conference on Parallel Computing (ParCo), pp.228-237, 2009.
URL : https://hal.archives-ouvertes.fr/ensl-00484321

J. Stoess, C. Lang, and F. Bellosa, Energy management for hypervisorbased virtual machines, USENIX annual technical conference, pp.1-14, 2007.

A. Beloglazov and R. Buyya, Openstack neat: a framework for dynamic and energy-efficient consolidation of virtual machines in openstack clouds. Concurrency and Computation: Practice and Experience, pp.1310-1333, 2015.

R. Nathuji, C. Isci, and E. Gorbatov, Exploiting Platform Heterogeneity for Power Efficient Data Centers, Fourth International Conference on Autonomic Computing (ICAC'07), pp.5-5, 2007.
DOI : 10.1109/ICAC.2007.16
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.93.1618

C. Saurabh-kumar-garg, A. Shin-yeo, R. Anandasivam, and . Buyya, Environment-conscious scheduling of hpc applications on distributed cloud-oriented data centers, Journal of Parallel and Distributed Computing, issue.6, pp.71732-749, 2011.

S. Kumar, V. Talwar, V. Kumar, P. Ranganathan, and K. Schwan, vManage, Proceedings of the 6th international conference on Autonomic computing, ICAC '09, pp.127-136, 2009.
DOI : 10.1145/1555228.1555262

V. Villebonnet, G. D. Costa, L. Lefevre, J. Pierson, and P. Stolf, Towards Generalizing "Big Little" for Energy Proportional HPC and Cloud Infrastructures, 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, pp.703-710, 2014.
DOI : 10.1109/BDCloud.2014.99

A. Talukder, M. Kirley, and R. Buyya, Multiobjective differential evolution for scheduling workflow applications on global grids. Concurrency and Computation: Practice and Experience, pp.1742-1756, 2009.

J. Tsai, J. Fang, and J. Chou, Optimized task scheduling and resource allocation on cloud computing environment using improved differential evolution algorithm, Computers & Operations Research, vol.40, issue.12, pp.3045-3055, 2013.
DOI : 10.1016/j.cor.2013.06.012

A. Abdulmohson, S. Pelluri, and R. Sirandas, Energy Efficient Load Balancing of Virtual Machines in Cloud Environments, International Journal of Cloud-Computing and Super-Computing, vol.2, issue.1, pp.21-34, 2015.
DOI : 10.21742/ijcs.2015.2.1.03

F. Legillon, N. Melab, D. Renard, and E. Talbi, A multiobjective evolutionary algorithm for cloud platform reconfiguration, Parallel and Distributed Processing Symposium Workshop (IPDPSW), 2015 IEEE International, pp.286-291, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01248574

A. Benyi, J. Daniel-dombi, and A. Kertész, Energy-aware vm scheduling in iaas clouds using pliant logic, CLOSER, pp.519-526, 2014.

M. Mezmaz, N. Melab, Y. Kessaci, Y. C. Lee, E. Talbi et al., A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems, Journal of Parallel and Distributed Computing, vol.71, issue.11, pp.711497-1508, 2011.
DOI : 10.1016/j.jpdc.2011.04.007
URL : https://hal.archives-ouvertes.fr/hal-00639966

C. Tsai, J. Joel, and . Rodrigues, Metaheuristic Scheduling for Cloud: A Survey, IEEE Systems Journal, vol.8, issue.1, pp.279-291, 2014.
DOI : 10.1109/JSYST.2013.2256731

E. Bhaskar-prasad-rimal, I. Choi, and . Lumb, A taxonomy and survey of cloud computing systems, INC, IMS and IDC, 2009. NCM'09. Fifth International Joint Conference on, pp.44-51, 2009.

R. Prodan and S. Ostermann, A survey and taxonomy of infrastructure as a service and web hosting cloud providers, 2009 10th IEEE/ACM International Conference on Grid Computing, pp.17-25, 2009.
DOI : 10.1109/GRID.2009.5353074

N. Ferry, A. Rossini, F. Chauvel, B. Morin, and A. Solberg, Towards Model-Driven Provisioning, Deployment, Monitoring, and Adaptation of Multi-cloud Systems, 2013 IEEE Sixth International Conference on Cloud Computing, pp.887-894, 2013.
DOI : 10.1109/CLOUD.2013.133

B. Satzger, W. Hummer, C. Inzinger, P. Leitner, and S. Dustdar, Winds of Change: From Vendor Lock-In to the Meta Cloud, IEEE Internet Computing, vol.17, issue.1, pp.69-73, 2013.
DOI : 10.1109/MIC.2013.19

M. Rosenblum, Vmware's virtual platform TM, Proceedings of hot chips, pp.185-196, 1999.

R. Buyya, R. Ranjan, and R. N. Calheiros, InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services, Algorithms and architectures for parallel processing, pp.13-31, 2010.
DOI : 10.1007/978-3-642-13119-6_2

R. G. Cascella, C. Morin, P. Harsh, and Y. Jegou, Contrail, Proceedings of the 1st European Workshop on Dependable Cloud Computing, EWDCC '12, pp.1-6, 2012.
DOI : 10.1145/2365316.2365322
URL : https://hal.archives-ouvertes.fr/hal-00762967

E. Carlini, M. Coppola, P. Dazzi, L. Ricci, and G. Righetti, Cloud Federations in Contrail, Euro-Par 2011: Parallel Processing Workshops, pp.159-168, 2012.
DOI : 10.1007/978-3-642-29737-3_19

B. Rochwerger, D. Breitgand, E. Levy, A. Galis, K. Nagin et al., The Reservoir model and architecture for open federated cloud computing, IBM Journal of Research and Development, vol.53, issue.4, pp.4-5, 2009.
DOI : 10.1147/JRD.2009.5429058

A. Celesti, F. Tusa, M. Villari, and A. Puliafito, How to Enhance Cloud Architectures to Enable Cross-Federation, 2010 IEEE 3rd International Conference on Cloud Computing, pp.337-345, 2010.
DOI : 10.1109/CLOUD.2010.46

M. El and M. Diouri, Your cluster is not power homogeneous: Take care when designing green schedulers! In IGCC-4th IEEE International Green Computing Conference, 2013.

. Seung-hwan and . Lim, A dynamic energy management scheme for multi-tier data centers, ISPASS, pp.257-266, 2011.

H. Ata, V. Bohra, and . Chaudhary, Vmeter: Power modelling for virtualized clouds, Parallel & Distributed Processing, Workshops and Phd Forum 2010 IEEE International Symposium on, pp.1-8, 2010.

E. Md, K. Haque, I. Le, R. Goiri, T. D. Bianchini et al., Providing green slas in high performance computing clouds, Green Computing Conference (IGCC), 2013 International, pp.1-11, 2013.

E. Caron and F. Desprez, Diet: A Scalable Toolbox to Build Network Enabled Servers on the Grid, International Journal of High Performance Computing Applications, vol.20, issue.3, pp.335-352, 2006.
DOI : 10.1177/1094342006067472
URL : https://hal.archives-ouvertes.fr/hal-01429867

E. Caron, Contribution to the management of large scale platforms: the Diet experience, 2010.
URL : https://hal.archives-ouvertes.fr/tel-00629060

F. Clouet, S. Delamare, J. Gelas, L. Lefèvre, and L. Nussbaum, Clément Parisot, Laurent Pouilloux, and François Rossigneux. A unified monitoring framework for energy consumption and network traffic, TRIDENTCOM-International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities, p.10, 2015.

M. Dias-de-assuncao, A. Orgerie, and L. Lefèvre, An analysis of power consumption logs from a monitored grid site, Green Computing and Communications (GreenCom), pp.61-68, 2010.
URL : https://hal.archives-ouvertes.fr/ensl-00579429

M. Dias and D. Assuncao, The green grid'5000: Instrumenting and using a grid with energy sensors, Remote Instrumentation for eScience and Related Aspects, pp.25-42, 2012.

E. Talbi, Metaheuristics: from design to implementation, 2009.
DOI : 10.1002/9780470496916
URL : https://hal.archives-ouvertes.fr/hal-00750681

J. Schaffer, Multiple objective optimization with vector evaluated genetic algorithms, Proceedings of the 1st International Conference on Genetic Algorithms, pp.93-100, 1985.

E. Zitzler, L. Laumanns, and . Thiele, Spea2: Improved the performance of the strength pareto evolutionary algorithm, Swiss Federal institute of Technology (ETH) Zurich, 2001.

K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, vol.6, issue.2, pp.182-197, 2002.
DOI : 10.1109/4235.996017
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.7771

H. John and . Holland, Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence, 1975.

R. Storn and K. Price, Differential evolution: a simple and efficient heuristic for global optimization over continuous spaces, Journal of Global Optimization, vol.11, issue.4, pp.341-359, 1997.
DOI : 10.1023/A:1008202821328

K. Arya, D. Bhattacharya, D. Aditya, and . Sambasivam, Estimation of operating blast furnace reactor invisible interior surface using differential evolution, Applied Soft Computing, vol.13, issue.5, pp.2767-2789, 2013.

K. Arya, S. Bhattacharya, A. Debjani, J. Roychowdhury, and . Das, Optimization of continuous casting mould oscillation parameters in steel manufacturing process using genetic algorithms, IEEE Congress on Evolutionary Computation, pp.3998-4004, 2007.

K. Arya, D. Bhattacharya, and . Sambasivam, Optimization of oscillation parameters in continuous casting process of steel manufacturing: Genetic Algorithms versus Differential Evolution, 2009.

J. Lampinen, Differential evolution-new naturally parallel approach for engineering design optimization. Developments in computational mechanics with high performance computing, pp.217-228, 1999.
DOI : 10.4203/ccp.57.11.2

K. Dimitris, . Tasoulis, G. Nicos, . Pavlidis, P. Vassilis et al., Parallel differential evolution, Evolutionary Computation Congress on, pp.2023-2029, 2004.

W. Lee, Y. Hsiao, and W. Hwang, Designing a parallel evolutionary algorithm for inferring gene networks on the cloud computing environment, BMC Systems Biology, vol.8, issue.1, 2014.
DOI : 10.1186/1752-0509-6-145

C. Deng, X. Tan, X. Dong, and Y. Tan, A Parallel Version of Differential Evolution Based on Resilient Distributed Datasets Model, Bio- Inspired Computing-Theories and Applications, pp.84-93, 2015.
DOI : 10.1007/978-3-662-49014-3_8

R. Storn and K. Price, Differential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces, 1995.

C. Coello-coello, B. Gary, D. A. Lamont, and . Van-veldhuizen, Evolutionary algorithms for solving multi-objective problems, 2007.
DOI : 10.1007/978-1-4757-5184-0

S. Das and P. Suganthan, Differential Evolution: A Survey of the State-of-the-Art, IEEE Transactions on Evolutionary Computation, vol.15, issue.1, pp.4-31, 2011.
DOI : 10.1109/TEVC.2010.2059031

L. Dagum and R. Menon, OpenMP: an industry standard API for shared-memory programming, IEEE Computational Science and Engineering, vol.5, issue.1, pp.46-55, 1998.
DOI : 10.1109/99.660313

S. Moore, Gartner says worldwide cloud infrastructure-as-a-service spending to grow 32, 2015.

G. Lawrence, B. D. Roberts, and . Wessler, Computer network development to achieve resource sharing, Proceedings of the Spring Joint Computer Conference, AFIPS '70 (Spring), pp.543-549, 1970.

A. Garth, R. Gibson, and . Van-meter, Network attached storage architecture, Communications of the ACM, vol.43, issue.11, pp.37-45, 2000.

D. Sacks, Demystifying storage networking das, san, nas, nas gateways, fibre channel, and iscsi. IBM Storage Networking, pp.3-11, 2001.

K. Shvachko, H. Kuang, S. Radia, and R. Chansler, The Hadoop Distributed File System, 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), pp.1-10, 2010.
DOI : 10.1109/MSST.2010.5496972
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.178.989

A. Sage, S. A. Weil, E. L. Brandt, D. D. Miller, C. Long et al., Ceph: A scalable, high-performance distributed file system, Proceedings of the 7th Symposium on Operating Systems Design and Implementation (OSDI, pp.307-320, 2006.

K. Morita, Sheepdog: Distributed storage system for qemu/kvm, 2010.

J. Satran, K. Meth, C. Sapuntzakis, M. Chadalapaka, and E. Zeidner, Internet small computer systems interface (iscsi), 2004.
DOI : 10.17487/rfc3720

E. Caron, L. Toch, and J. Rouzaud-cornabas, Comparison on Open- Stack and OpenNebula performance to improve multi-Cloud architecture on cosmological simulation use case, 2013.

W. Barth, Nagios: System and network monitoring, 2008.

C. Belady, A. Rawson, J. Pfleuger, and T. Cader, Green grid data center power efficiency metrics: PUE and DCIE The Green Grid, 2008.

L. Columbus, Roundup of cloud computing forecasts and market estimates, 2016. Forbes Magazine, 2016.

D. Meisner, B. T. Gold, and T. F. Wenisch, Powernap: Eliminating server idle power, Proceedings of the 14th International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS XIV, pp.205-216, 2009.
DOI : 10.1145/1925109.1925112

R. Hat, libvirt: The virtualization api, 2012.

A. Ailamaki, V. Kantere, and D. Dash, Managing scientific data, Communications of the ACM, vol.53, issue.6, pp.68-78, 2010.
DOI : 10.1145/1743546.1743568
URL : http://infoscience.epfl.ch/record/150721

L. Martin, S. Kersten, S. Idreos, E. Manegold, and . Liarou, The researcher's guide to the data deluge: Querying a scientific database in just a few seconds, 2011.

A. Nandi and H. Jagadish, Guided interaction: Rethinking the query-result paradigm, Proceedings of the VLDB Endowment, pp.1466-1469, 2011.

M. Stonebraker, J. Becla, J. David, K. Dewitt, D. Lim et al., Requirements for science data bases and scidb, CIDR, pp.173-184, 2009.

I. Alagiannis, R. Borovica, M. Branco, S. Idreos, and A. Ailamaki, Nodb: efficient query execution on raw data files, Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data, pp.241-252, 2012.

S. Idreos, I. Alagiannis, R. Johnson, and A. Ailamaki, Here are my data files. here are my queries. where are my results?, Proceedings of 5th Biennial Conference on Innovative Data Systems Research, number EPFL-CONF- 161489, 2011.

A. Abouzied, J. Daniel, A. Abadi, and . Silberschatz, Invisible loading, Proceedings of the 16th International Conference on Extending Database Technology, EDBT '13, pp.1-10, 2013.
DOI : 10.1145/2452376.2452377

E. Wustenhoff and S. Blueprints, Service level agreement in the data center, Sun Microsystems Professional Series, vol.2, 2002.

B. Viswanathan, A. Verma, and S. Dutta, CloudMap: Workload-aware placement in private heterogeneous clouds, 2012 IEEE Network Operations and Management Symposium, pp.9-16, 2012.
DOI : 10.1109/NOMS.2012.6211877

E. Feller, L. Rilling, and C. Morin, Energy-Aware Ant Colony Based Workload Placement in Clouds, 2011 IEEE/ACM 12th International Conference on Grid Computing, pp.26-33, 2011.
DOI : 10.1109/Grid.2011.13
URL : https://hal.archives-ouvertes.fr/inria-00594992

M. Chen, H. Zhang, Y. Su, X. Wang, G. Jiang et al., Effective VM sizing in virtualized data centers, 12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops, pp.594-601, 2011.
DOI : 10.1109/INM.2011.5990564
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.399.7175

X. Meng, C. Isci, J. Kephart, L. Zhang, E. Bouillet et al., Efficient resource provisioning in compute clouds via VM multiplexing, Proceeding of the 7th international conference on Autonomic computing, ICAC '10, pp.11-20, 2010.
DOI : 10.1145/1809049.1809052
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.472.8844

M. Loukides, What is DevOps, p.2012

K. Soon, S. Bang, Y. Chung, M. Choh, and . Dupuis, A grounded theory analysis of modern web applications: knowledge, skills, and abilities for devops, Proceedings of the 2nd annual conference on Research in information technology, pp.61-62, 2013.

M. Httermann, DevOps for developers. Apress, 2012.

R. Buyya and K. Bubendorfer, Market-oriented grid and utility computing, 2010.
DOI : 10.1002/9780470455432