D. Bozdag, U. Catalyurek, and F. Ozguner, A task duplication based bottom-up scheduling algorithm for heterogeneous environments, Proceedings 20th IEEE International Parallel & Distributed Processing Symposium, pp.1-12, 2006.
DOI : 10.1109/IPDPS.2006.1639389

D. P. Bunde, Power-aware scheduling for makespan and flow, Journal of Scheduling, vol.10, issue.4, pp.489-500, 2009.
DOI : 10.1007/s10951-009-0123-y

URL : http://arxiv.org/abs/cs/0605126

K. W. Cameron, Trading in Green IT, Computer, vol.43, issue.3, pp.83-85, 2010.
DOI : 10.1109/MC.2010.81

J. J. Chen and T. W. Kuo, Multiprocessor energy-efficient scheduling for real-time tasks with different power characteristics, pp.13-20, 2005.

T. H. Cormen, C. E. Leiserson, R. L. Rivest, and C. Stein, Introduction to algorithms, 2001.

S. Darbha and D. P. , Optimal scheduling algorithm for distributed-memory machines, IEEE Transactions on Parallel and Distributed Systems, vol.9, issue.1, pp.87-95, 2002.
DOI : 10.1109/71.655248

K. Deb, Multi-objective optimization using evolutionary algorithms, 2001.

M. R. Garey and D. S. Johnson, Computers and intractability: A guide to the theory of NP-completeness, 1979.

R. Ge, X. Feng, and K. W. Cameron, Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters, ACM/IEEE SC 2005 Conference (SC'05), pp.34-44, 2005.
DOI : 10.1109/SC.2005.57

. Intel, Intel pentium m processor datasheet, 2004.

S. U. Khan and I. Ahmad, A Cooperative Game Theoretical Technique for Joint Optimization of Energy Consumption and Response Time in Computational Grids, IEEE Transactions on Parallel and Distributed Systems, vol.20, issue.3, pp.346-360, 2009.
DOI : 10.1109/TPDS.2008.83

K. H. Kim, R. Buyya, and J. Kim, Power aware scheduling of bag-oftasks applications with deadline constraints on DVS-enabled clusters, Proceedings of the 7 th IEEE International Symposium on Cluster Computing and the Grid, pp.541-548, 2007.

S. C. Kim, S. Lee, and J. Hahm, Push-Pull: Deterministic Search-Based DAG Scheduling for Heterogeneous Cluster Systems, IEEE Transactions on Parallel and Distributed Systems, vol.18, issue.11, pp.1489-1502, 2007.
DOI : 10.1109/TPDS.2007.1106

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.136.2764

G. Koch, Discovering multi-core: Extending the benefits of Moore's law, Technology Intel Magazine, p.1, 2005.

J. G. Koomey, Estimating total power consumption by servers in the US and the world, 2007.

Y. K. Kwok and I. Ahmad, Benchmarking the task graph scheduling algorithms, Proceedings of the First Merged International Parallel Processing Symposium and Symposium on Parallel and Distributed Processing, pp.531-537, 1998.
DOI : 10.1109/IPPS.1998.669967

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.114.8847

Y. C. Lee and A. Y. Zomaya, A Productive Duplication-Based Scheduling Algorithm for Heterogeneous Computing Systems, Proceedings of International Conference on High Performance Computing and Communications (HPCC), pp.203-212, 2005.
DOI : 10.1007/11557654_26

Y. C. Lee and A. Y. Zomaya, A novel state transition method for metaheuristic-based scheduling in heterogeneous computing systems, IEEE Transactions on Parallel and Distributed Systems, vol.19, issue.9, pp.1215-1223, 2008.

Y. C. Lee and A. Y. Zomaya, Minimizing Energy Consumption for Precedence-Constrained Applications Using Dynamic Voltage Scaling, 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, pp.92-99, 2009.
DOI : 10.1109/CCGRID.2009.16

A. Liefooghe, L. Jourdan, and E. Talbi, A software framework based on a conceptual unified model for evolutionary multiobjective optimization: ParadisEO-MOEO, European Journal of Operational Research, vol.209, issue.2, pp.104-112, 2011.
DOI : 10.1016/j.ejor.2010.07.023

URL : https://hal.archives-ouvertes.fr/hal-00522612

R. Min, T. Furrer, and A. Chandrakasan, Dynamic voltage scaling techniques for distributed microsensor networks, Proceedings IEEE Computer Society Workshop on VLSI 2000. System Design for a System-on-Chip Era, pp.43-46, 2000.
DOI : 10.1109/IWV.2000.844528

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.2022

B. Rountree, D. K. Lowenthal, S. Funk, V. W. Freeh, B. R. De-supinski et al., Bounding energy consumption in large-scale MPI programs, Proceedings of the 2007 ACM/IEEE conference on Supercomputing , SC '07, pp.1-9, 2007.
DOI : 10.1145/1362622.1362688

E. G. Talbi, Metaheuristics: From design to implementation, 2009.
DOI : 10.1002/9780470496916

URL : https://hal.archives-ouvertes.fr/hal-00750681

H. Topcuoglu, S. Hariri, and M. Wu, Performance-effective and low-complexity task scheduling for heterogeneous computing, IEEE Transactions on Parallel and Distributed Systems, vol.13, issue.3, pp.260-274, 2002.
DOI : 10.1109/71.993206

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.119.122

V. Venkatachalam and M. Franz, Power reduction techniques for microprocessor systems, ACM Computing Surveys, vol.37, issue.3, pp.195-237, 2005.
DOI : 10.1145/1108956.1108957

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.114.4789

L. Wang, G. Von-laszewski, J. Dayal, and F. Wang, Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks in a Cluster with DVFS, 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, pp.368-377, 2010.
DOI : 10.1109/CCGRID.2010.19

X. Zhong and C. Z. Xu, Energy-Aware Modeling and Scheduling for Dynamic Voltage Scaling with Statistical Real-Time Guarantee, IEEE Transactions on Computers, vol.56, issue.3, pp.358-372, 2007.
DOI : 10.1109/TC.2007.48

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.9621

D. Zhu, R. Melhem, and B. R. Childers, Scheduling with dynamic voltage/speed adjustment using slack reclamation in multiprocessor realtime systems, IEEE Transactions on Parallel and Distributed Systems, vol.14, issue.7, pp.686-700, 2003.

D. Zhu, D. Mosse, and R. Melhem, Power-aware scheduling for AND/OR graphs in real-time systems, IEEE Transactions on Parallel and Distributed Systems, vol.15, issue.9, pp.849-864, 2004.
DOI : 10.1109/TPDS.2004.45

A. Y. Zomaya, C. Ward, and B. Macey, Genetic scheduling for parallel processor systems: comparative studies and performance issues, IEEE Transactions on Parallel and Distributed Systems, vol.10, issue.8, pp.795-812, 1999.
DOI : 10.1109/71.790598