P. Agrawal and S. Rao, Energy-Aware Scheduling of Distributed Systems, IEEE Transactions on Automation Science and Engineering, vol.11, issue.4, pp.1163-1175, 2014.
DOI : 10.1109/TASE.2014.2308955

D. Tracy, H. J. Braun, N. Siegel, . Beck, L. Ladislau et al., A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems, Journal of Parallel and Distributed computing, issue.6, pp.61810-837, 2001.

K. Ramamritham, A. John, and . Stankovic, Dynamic Task Scheduling in Hard Real-Time Distributed systems, IEEE Software, vol.1, issue.3, pp.65-75, 1984.
DOI : 10.1109/MS.1984.234713

D. Trystram, Scheduling parallel applications using malleable tasks on clusters, Proceedings 15th International Parallel and Distributed Processing Symposium. IPDPS 2001, p.199, 2001.
DOI : 10.1109/IPDPS.2001.925211

A. Ricky, E. Kendall, . Aprà, E. David, . Bernholdt et al., High performance computational chemistry: An overview of nwchem a distributed parallel application, Computer Physics Communications, vol.128, issue.1, pp.260-283, 2000.

S. Rampersaud, L. Mashayekhy, and D. Grosu, Computing nash equilibria in bimatrix games: Gpu-based parallel support enumeration . Parallel and Distributed Systems, IEEE Transactions on, vol.25, issue.12, pp.3111-3123, 2014.
DOI : 10.1109/pccc.2012.6407775
URL : http://www.cs.wayne.edu/~dgrosu/pub/ipccc12.pdf

A. Stavros and . Zenios, High-performance computing in finance: The last 10 years and the next, Parallel Computing, vol.25, issue.13, pp.2149-2175, 1999.

S. Prabhakaran, M. Neumann, S. Rinke, F. Wolf, A. Gupta et al., A Batch System with Efficient Adaptive Scheduling for Malleable and Evolving Applications, 2015 IEEE International Parallel and Distributed Processing Symposium, pp.429-438, 2015.
DOI : 10.1109/IPDPS.2015.34
URL : http://charm.cs.illinois.edu/newPapers/15-12/paper.pdf

M. Dias-de-assunção, A. Di-costanzo, and R. Buyya, Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters, Proceedings of the 18th ACM international symposium on High performance distributed computing, HPDC '09, pp.141-150, 2009.
DOI : 10.1145/1551609.1551635

V. Rehn-sonigo, Multi-criteria mapping and scheduling of workflow applications onto heterogeneous platforms, 2009.
URL : https://hal.archives-ouvertes.fr/tel-00424118

R. Baraglia, P. Dazzi, G. Capannini, and G. Pagano, A multi-criteria job scheduling framework for large computing farms, Proc. of the 10th IEEE International Conference on Computer and Information Technology, pp.187-194, 2010.
DOI : 10.1016/j.jcss.2012.05.005
URL : https://doi.org/10.1016/j.jcss.2012.05.005

M. Moca, C. Litan, . Gheorghe-cosmin, G. Silaghi, and . Fedak, Multi-criteria and satisfaction oriented scheduling for hybrid distributed computing infrastructures, Future Generation Computer Systems, vol.55, issue.0, 2015.
DOI : 10.1016/j.future.2015.03.022
URL : https://hal.archives-ouvertes.fr/hal-01239218