How clean is your cloud Catalysing an energy revolution, p.11, 2012. ,
Climate finance at cop21 and after: Lessons learnt. CEPII, Policy Brief, issue.9, p.2016 ,
Determining total cost of ownership for data center and network room infrastructure ,
Using the balanced scorecard as a strategic management system, 1996. ,
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
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
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
Nu@ge: A container-based cloud computing service federation, Concurrency and Computation: Practice and Experience (CCPE), p.2016 ,
DOI : 10.1002/cpe.4049
Revolutionizing data center energy efficiency, 2008. ,
Code of conduct on data centres energy efficiency (version 2): Endorser guidelines and registration forms, 2009. ,
Data center power efficiency metrics: Pue and dcie. The Green Grid, p.120, 2007. ,
Data center energy efficient resource scheduling, Cluster Computing, vol.32, issue.6, pp.1265-1277, 2014. ,
DOI : 10.1007/s10586-014-0365-0
Report to congress on server and data center energy efficiency: Public law 109-431, 2008. ,
Data center metrics, Management of Environmental Quality: An International Journal, vol.20, issue.6, pp.712-731, 2009. ,
DOI : 10.1108/14777830910990870
A case study and critical assessment in calculating power usage effectiveness for a data centre. Energy conversion and management, pp.155-161, 2013. ,
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
Evaluating the Mflops measure, IEEE Micro, vol.16, issue.4, pp.69-75, 1996. ,
DOI : 10.1109/40.526927
The Green500 List: Encouraging Sustainable Supercomputing, Computer, vol.40, issue.12, pp.50-55, 2007. ,
DOI : 10.1109/MC.2007.445
The linpack benchmark: past, present and future. Concurrency and Computation: practice and experience, pp.803-820, 2003. ,
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
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
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 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
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
Balancing power consumption in multiprocessor systems, ACM SIGOPS Operating Systems Review, vol.40, issue.4, pp.403-414, 2006. ,
DOI : 10.1145/1218063.1217974
Microsoft joulemeter: Using software to green the data center, 2010. ,
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
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
Amazon elastic compute cloud (amazon ec2) Amazon Elastic Compute Cloud (Amazon EC2), 2010. ,
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
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. ,
Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Future generation computer systems, pp.755-768, 2012. ,
Analysis of load balancing techniques in cloud computing, International Journal of Computers & Technology, vol.4, issue.2, pp.737-778, 2013. ,
Fault Tolerance Middleware for Cloud Computing, 2010 IEEE 3rd International Conference on Cloud Computing, pp.67-74, 2010. ,
DOI : 10.1109/CLOUD.2010.26
Fault tolerance-challenges, techniques and implementation in cloud computing, IJCSI International Journal of Computer Science Issues, vol.9, issue.1, pp.1694-0814, 2012. ,
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
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. ,
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
Energy management for hypervisorbased virtual machines, USENIX annual technical conference, pp.1-14, 2007. ,
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. ,
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
Environment-conscious scheduling of hpc applications on distributed cloud-oriented data centers, Journal of Parallel and Distributed Computing, issue.6, pp.71732-749, 2011. ,
vManage, Proceedings of the 6th international conference on Autonomic computing, ICAC '09, pp.127-136, 2009. ,
DOI : 10.1145/1555228.1555262
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
Multiobjective differential evolution for scheduling workflow applications on global grids. Concurrency and Computation: Practice and Experience, pp.1742-1756, 2009. ,
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
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
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
Energy-aware vm scheduling in iaas clouds using pliant logic, CLOSER, pp.519-526, 2014. ,
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
Metaheuristic Scheduling for Cloud: A Survey, IEEE Systems Journal, vol.8, issue.1, pp.279-291, 2014. ,
DOI : 10.1109/JSYST.2013.2256731
A taxonomy and survey of cloud computing systems, INC, IMS and IDC, 2009. NCM'09. Fifth International Joint Conference on, pp.44-51, 2009. ,
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
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
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
Vmware's virtual platform TM, Proceedings of hot chips, pp.185-196, 1999. ,
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
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
Cloud Federations in Contrail, Euro-Par 2011: Parallel Processing Workshops, pp.159-168, 2012. ,
DOI : 10.1007/978-3-642-29737-3_19
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
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
Your cluster is not power homogeneous: Take care when designing green schedulers! In IGCC-4th IEEE International Green Computing Conference, 2013. ,
A dynamic energy management scheme for multi-tier data centers, ISPASS, pp.257-266, 2011. ,
Vmeter: Power modelling for virtualized clouds, Parallel & Distributed Processing, Workshops and Phd Forum 2010 IEEE International Symposium on, pp.1-8, 2010. ,
Providing green slas in high performance computing clouds, Green Computing Conference (IGCC), 2013 International, pp.1-11, 2013. ,
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
Contribution to the management of large scale platforms: the Diet experience, 2010. ,
URL : https://hal.archives-ouvertes.fr/tel-00629060
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. ,
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
The green grid'5000: Instrumenting and using a grid with energy sensors, Remote Instrumentation for eScience and Related Aspects, pp.25-42, 2012. ,
Metaheuristics: from design to implementation, 2009. ,
DOI : 10.1002/9780470496916
URL : https://hal.archives-ouvertes.fr/hal-00750681
Multiple objective optimization with vector evaluated genetic algorithms, Proceedings of the 1st International Conference on Genetic Algorithms, pp.93-100, 1985. ,
Spea2: Improved the performance of the strength pareto evolutionary algorithm, Swiss Federal institute of Technology (ETH) Zurich, 2001. ,
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
Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence, 1975. ,
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
Estimation of operating blast furnace reactor invisible interior surface using differential evolution, Applied Soft Computing, vol.13, issue.5, pp.2767-2789, 2013. ,
Optimization of continuous casting mould oscillation parameters in steel manufacturing process using genetic algorithms, IEEE Congress on Evolutionary Computation, pp.3998-4004, 2007. ,
Optimization of oscillation parameters in continuous casting process of steel manufacturing: Genetic Algorithms versus Differential Evolution, 2009. ,
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
Parallel differential evolution, Evolutionary Computation Congress on, pp.2023-2029, 2004. ,
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
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
Differential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces, 1995. ,
Evolutionary algorithms for solving multi-objective problems, 2007. ,
DOI : 10.1007/978-1-4757-5184-0
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
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
Gartner says worldwide cloud infrastructure-as-a-service spending to grow 32, 2015. ,
Computer network development to achieve resource sharing, Proceedings of the Spring Joint Computer Conference, AFIPS '70 (Spring), pp.543-549, 1970. ,
Network attached storage architecture, Communications of the ACM, vol.43, issue.11, pp.37-45, 2000. ,
Demystifying storage networking das, san, nas, nas gateways, fibre channel, and iscsi. IBM Storage Networking, pp.3-11, 2001. ,
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
Ceph: A scalable, high-performance distributed file system, Proceedings of the 7th Symposium on Operating Systems Design and Implementation (OSDI, pp.307-320, 2006. ,
Sheepdog: Distributed storage system for qemu/kvm, 2010. ,
Internet small computer systems interface (iscsi), 2004. ,
DOI : 10.17487/rfc3720
Comparison on Open- Stack and OpenNebula performance to improve multi-Cloud architecture on cosmological simulation use case, 2013. ,
Nagios: System and network monitoring, 2008. ,
Green grid data center power efficiency metrics: PUE and DCIE The Green Grid, 2008. ,
Roundup of cloud computing forecasts and market estimates, 2016. Forbes Magazine, 2016. ,
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
libvirt: The virtualization api, 2012. ,
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
The researcher's guide to the data deluge: Querying a scientific database in just a few seconds, 2011. ,
Guided interaction: Rethinking the query-result paradigm, Proceedings of the VLDB Endowment, pp.1466-1469, 2011. ,
Requirements for science data bases and scidb, CIDR, pp.173-184, 2009. ,
Nodb: efficient query execution on raw data files, Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data, pp.241-252, 2012. ,
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. ,
Invisible loading, Proceedings of the 16th International Conference on Extending Database Technology, EDBT '13, pp.1-10, 2013. ,
DOI : 10.1145/2452376.2452377
Service level agreement in the data center, Sun Microsystems Professional Series, vol.2, 2002. ,
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
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
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
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
What is DevOps, p.2012 ,
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. ,
DevOps for developers. Apress, 2012. ,
Market-oriented grid and utility computing, 2010. ,
DOI : 10.1002/9780470455432