H. Ferreboeuf, Lean ict: Towards digital sobriety, 2018.

F. Pinel, J. Pecero, S. Khan, and P. Bouvry, Energy-efficient scheduling on milliclusters with performance constraints, 2011 IEEE/ACM International Conference on Green Computing and Communications, 2011.

V. Villebonnet, G. Costa, L. Lefevre, J. Pierson, and P. Stolf, Energy aware dynamic provisioning for heterogeneous data centers, p.206, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01355452

J. Shalf, S. Dosanjh, and J. Morrison, Exascale computing technology challenges, High Performance Computing for Computational Science -VECPAR 2010, pp.1-25, 2011.

A. Sedighi, Y. Deng, and P. Zhang, Fairness of task scheduling in high performance computing environments, Scalable Computing: Practice and Experience, vol.15, pp.273-285, 2014.

G. Rauchecker and G. Schryen, High-performance computing for scheduling decision support: A parallel depth-first search heuristic, 2015.

D. Trystram, G. Mounié, and P. Dutot, Scheduling parallel tasks: Approximation algorithms, pp.1-40, 2003.
URL : https://hal.archives-ouvertes.fr/hal-00003126

J. Hungershofer, On the combined scheduling of malleable and rigid jobs, IEEE, 2004.

H. Casanova, F. Desprez, and F. Suter, Minimizing stretch and makespan of multiple parallel task graphs via malleable allocations, p.1, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00533926

T. Guérouta, Y. Gaouaa, C. Artiguesa, G. Costa, P. Lopeza et al., Mixed integer linear programming for quality of service optimizationin clouds, p.1, 2017.

P. Dutot, M. Mercier, M. Poquet, and O. Richard, Batsim: A realistic language-independent resources and jobs management systems simulator, p.178, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01333471

H. Casanova, A. Legrand, and M. Quinson, Simgrid: A generic framework for large-scale distributed experiments, Tenth International Conference on Computer Modeling and Simulation, pp.126-131, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00260697

G. S. Prasanna and B. R. Musicus, Generalized multiprocessor scheduling and applications to matrix computations, IEEE Transactions on Parallel and Distributed systems, vol.7, issue.6, pp.650-664, 1996.

M. Poquet, Simulation approach for resource management, Data structures and algorithms, 2017.

H. S. Azad, Advances in GPU Research and Practice, 2016.

P. E. Black, , 2005.

D. Bratton and J. Kennedy, Defining a standard for particle swarm optimization, IEEE Swarm Intelligence Symposium, pp.120-127, 2007.

M. Clerc and J. Kennedy, The particle swarm -explosion, stability, and convergence in a multidimensional complex space, IEEE Transactions on Evolutionary Computation, vol.6, issue.1, pp.58-73, 2002.

S. Helwig, J. Branke, and S. Mostaghim, Experimental analysis of bound handling techniques in particle swarm optimization, IEEE Transactions on Evolutionary Computation, vol.17, pp.259-271, 2013.

G. Costa, L. Grange, and I. Courchelle, Modeling and generating large-scale google-like workload, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01472021

S. García and F. Herrera, An extension on "statistical comparisons of classifiers over multiple data sets" for all pairwise comparisons, Journal of Machine Learning Research -JMLR, vol.9, 2008.