, PofTarget Scaling Factor w (c) Utot=2.5 65, 1093.

. Bibliography,

M. Albrecht, P. Donnelly, P. Bui, and D. Thain, Makeflow: A portable abstraction for data intensive computing on clusters, clouds, and grids, In: 1st ACM SWEET SIGMOD, 2012.

I. Altintas, C. Berkley, E. Jaeger, M. Jones, B. Ludascher et al., Kepler: an extensible system for design and execution of scientific workflows, Proc. of 16th SSDBM, pp.423-424, 2004.

M. Ansari, S. Safari, A. Y. Khaksar, M. Salehi, and A. Ejlali, Peak Power Management to Meet Thermal Design Power in Fault-Tolerant Embedded Systems, IEEE Transactions on Parallel and Distributed Systems, 2018.

I. Assayad, A. Girault, and H. Kalla, A Bi-Criteria Scheduling Heuristic for Distributed Embedded Systems under Reliability and Real-Time Constraints, Dependable Systems Networks (DSN), 2004.

C. Augonnet, S. Thibault, R. Namyst, and P. Wacrenier, StarPU: a unified platform for task scheduling on heterogeneous multicore architectures, In: Concur. and Comp.: Pract. and Exp, vol.23, pp.187-198, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00384363

G. Aupy, A. Benoit, H. Casanova, and Y. Robert, Scheduling computational workflows on failure-prone platforms, In: Int. J. of Networking and Computing, vol.6, pp.2-26, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01251939

H. Aydin and Q. Yang, Energy-Aware Partitioning for Multiprocessor Real-Time Systems, Proc. 17th Int. Symp. Parallel and Distributed Processing. IPDPS '03, 2003.

R. Baldoni, J. .. Helary, A. Mostefaoui, and M. Raynal, A communication-induced checkpointing protocol that ensures rollback-dependency trackability, Proc. IEEE 27th International Symposium on Fault Tolerant Computing, pp.68-77, 1997.

L. Bautista-gomez and F. Cappello, Detecting and Correcting Data Corruption in Stencil Applications through Multivariate Interpolation, In: FTS. IEEE, 2015.

L. Bautista-gomez and F. Cappello, Detecting Silent Data Corruption Through Data Dynamic Monitoring for Scientific Applications, SIGPLAN Notices, vol.49, pp.381-382, 2014.

A. Benoit, A. Cavelan, Y. Robert, and H. Sun, Assessing general-purpose algorithms to cope with fail-stop and silent errors, In: ACM Trans. Parallel Computing, vol.3, issue.2, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01066664

E. Berrocal, L. Bautista-gomez, S. Di, Z. Lan, and F. Cappello, Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications, 2015.

S. Bharathi, A. Chervenak, E. Deelman, G. Mehta, M. Su et al., Characterization of scientific workflows, Workflows in Support of Large-Scale Science (WORKS), pp.1-10, 2008.

E. Bini and G. C. Buttazzo, Measuring the performance of schedulability tests, vol.1, pp.129-154, 2005.

H. L. Bodlaender and B. De-fluiter, Parallel algorithms for series parallel graphs, Algorithms -ESA'96, pp.277-289, 1996.

H. L. Bodlaender and T. Wolle, A Note on the Complexity of Network Reliability Problems, IEEE Trans. Inf. Theory, vol.47, pp.1971-1988, 2004.

G. Bosilca, R. Delmas, J. Dongarra, and J. Langou, Algorithm-based fault tolerance applied to high performance computing, J. Parallel Distrib. Comput, vol.69, pp.410-416, 2009.

T. D. Braun, H. J. Siegel, N. Beck, L. L. Bölöni, M. Maheswaran et al., A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems, In: Journal of Parallel and Distributed computing, vol.61, pp.810-837, 2001.

L. C. Canon and E. Jeannot, Correlation-Aware Heuristics for Evaluating the Distribution of the Longest Path Length of a DAG with Random Weights, IEEE Trans. Parallel Distributed Systems, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01412922

L. Canon, M. E. Sayah, and P. Héam, A markov chain monte carlo approach to cost matrix generation for scheduling performance evaluation, 2018 International Conference on High Performance Computing & Simulation (HPCS), pp.460-467, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02300458

C. Cao, T. Herault, G. Bosilca, and J. Dongarra, Design for a Soft Error Resilient Dynamic Task-Based Runtime, In: IPDPS. IEEE, pp.765-774, 2015.

K. Cao, G. Xu, J. Zhou, T. Wei, M. Chen et al., QoS-Adaptive Approximate Real-Time Computation for Mobility-Aware IoT Lifetime Optimization, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, pp.1-1, 2018.

K. Cao, J. Zhou, P. Cong, L. Li, T. Wei et al., Affinity-driven modeling and scheduling for makespan optimization in heterogeneous multiprocessor systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2018.

F. Cappello, A. Geist, W. Gropp, S. Kale, B. Kramer et al., Toward Exascale Resilience: 2014 update, In: Supercomputing frontiers and innovations, vol.1, issue.1, 2014.

H. Casanova, J. Herrmann, and Y. Robert, Computing the expected makespan of task graphs in the presence of silent errors, P2S2'2016, the 9th Int. Workshop on Programming Models and Systems Software for High-End Computing, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01354711

J. Choi, J. J. Dongarra, L. S. Ostrouchov, A. P. Petitet, D. W. Walker et al., Design and implementation of the ScaLAPACK LU, QR, and Cholesky factorization routines, In: Scientific Programming, vol.5, pp.173-184, 1996.

M. Chtepen, F. H. Claeys, B. Dhoedt, F. D. Turck, P. Demeester et al., Adaptive Task Checkpointing and Replication: Toward Efficient Fault-Tolerant Grids, In: IEEE Trans. Parallel Distributed Systems, vol.20, pp.180-190, 2009.

E. G. Coffman, M. R. Garey, and D. S. Johnson, Approximation Algorithms for Bin Packing: A Survey, pp.46-93, 1997.

A. Darte, Y. Robert, and F. Vivien, Scheduling and automatic parallelization, Birkhäuser, pp.978-981, 2000.
URL : https://hal.archives-ouvertes.fr/hal-00856645

R. I. Davis and A. Burns, A Survey of Hard Real-time Scheduling for Multiprocessor Systems, In: ACM Comput. Surv, vol.43, 2011.

E. Deelman, G. Singh, M. Su, J. Blythe, Y. Gil et al., Pegasus: A framework for mapping complex scientific workflows onto distributed systems, In: Scientific Programming, vol.13, pp.219-237, 2005.

E. Deelman, K. Vahi, G. Juve, M. Rynge, S. Callaghan et al., Pegasus, a Workflow Management System for Science Automation, Future Generation Computer Systems, vol.46, pp.17-35, 2015.

A. Dixit and A. Wood, The impact of new technology on soft error rates, International Reliability Physics Symposium. IEEE, pp.5-9, 2011.

J. D?az, J. Petit, and M. Serna, A survey of graph layout problems, In: ACM Computing Surveys, vol.34, pp.313-356, 2002.

A. B. Downey, The structural cause of file size distributions, pp.361-370, 2001.

M. Drozdowski, Scheduling for Parallel Processing, 2009.

R. Duan, R. Prodan, and T. Fahringer, Dee: A distributed fault tolerant workflow enactment engine for grid computing, International Conference on High Performance Computing and Communications, pp.704-716, 2005.

T. Fahringer, R. Prodan, R. Duan, J. Hofer, F. Nadeem et al., Askalon: A development and grid computing environment for scientific workflows, pp.450-471, 2007.

X. Fan, C. S. Ellis, and A. R. Lebeck, The synergy between power-aware memory systems and processor voltage scaling, International Workshop on Power-Aware Computer Systems, pp.164-179, 2003.

M. R. Garey and D. S. Johnson, Computers and Intractability, a Guide to the Theory of NP-Completeness, 1979.

A. Girault and H. Kalla, A novel bicriteria scheduling heuristics providing a guaranteed global system failure rate, IEEE Trans. Dependable and Secure Computing, vol.6, pp.241-254, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00746768

H. H. Greenberg, A Branch-Bound Solution to the General Scheduling Problem, Oper. Res, vol.16, pp.353-361, 1968.

T. Guo, J. Liu, W. Hu, and M. Wei, Energy-Aware Fault-Tolerant Scheduling Under Reliability and Time Constraints in Heterogeneous Systems, pp.36-46, 2018.

Y. Guo, D. Zhu, H. Aydin, J. Han, and L. T. Yang, Exploiting primary/backup mechanism for energy efficiency in dependable real-time systems, In: Journal of Systems Architecture, vol.78, pp.1383-7621, 2017.

J. N. Hagstrom, Computational complexity of PERT problems, vol.18, pp.139-147, 1988.

L. Han, Checkpointing Workflows: Simulation Code, 2017.

J. Han, W. Cai, and D. Zhu, Resource-aware Partitioned Scheduling for Heterogeneous Multicore Real-time Systems, Proceedings of the 55th Annual Design Automation Conference. DAC '18, vol.124, pp.1-124, 2018.

L. Han, Heterogeneous real-time systems, 2020.

L. Han, L. Canon, H. Casanova, Y. Robert, and F. Vivien, Checkpointing Workflows for Fail-Stop Errors, IEEE Trans. Computers, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01701611

L. Han, L. Canon, J. Liu, and Y. Robert, Code to schedule for periodic real-time tasks under reliability constraints with minimal energy consumption, 2019.

L. Han, Y. Gao, J. Liu, Y. Robert, and F. Vivien, Energy-aware strategies for reliability-oriented real-time task allocation on heterogeneous platforms, 2020.
URL : https://hal.archives-ouvertes.fr/hal-02500381

Q. Han, Energy-aware Fault-tolerant Scheduling for Hard Real-time Systems, 2015.

M. A. Haque, H. Aydin, and D. Zhu, On reliability management of energy-aware real-time systems through task replication, IEEE Transactions on Parallel and Distributed Systems, vol.28, pp.813-825, 2017.

K. Hashimoto, T. Tsuchiya, and T. Kikuno, Fault-secure scheduling of arbitrary task graphs to multiprocessor systems, Proceeding International Conference on Dependable Systems and Networks. DSN, pp.203-212, 2000.

, Fault-Tolerance Techniques for High-Performance Computing. Computer Communications and Networks, 2015.

U. Hönig and W. Schiffmann, A Parallel Branch-and-Bound Algorithm for Computing Optimal Task Graph Schedules, Grid and Cooperative Computing: Second International Workshop, GCC 2003, pp.18-25, 2003.

K. Huang, X. Jiang, X. Zhang, R. Yan, K. Wang et al., Energy-Efficient Fault-Tolerant Mapping and Scheduling on Heterogeneous Multiprocessor Real-Time Systems, In: IEEE Access, vol.6, pp.2169-3536, 2018.

K. Huang and J. A. Abraham, Algorithm-Based Fault Tolerance for Matrix Operations, IEEE Trans. Comput, vol.33, pp.518-528, 1984.

S. Hwang and C. Kesselman, Grid workflow: a flexible failure handling framework for the grid, Proceedings. 12th IEEE International Symposium on, pp.126-137, 2003.

G. Jacques-silva, Z. Kalbarczyk, B. Gedik, H. Andrade, K. L. Wu et al., Modeling stream processing applications for dependability evaluation, Dependable Systems Networks (DSN), 2011.

R. Jejurikar and R. Gupta, Dynamic voltage scaling for systemwide energy minimization in real-time embedded systems, Proceedings of the 2004 international symposium on Low power electronics and design, pp.78-81, 2004.

H. Jin, X. Sun, Z. Zheng, Z. Lan, and B. Xie, Performance Under Failures of DAG-based Parallel Computing, CCGRID '09, 2009.

D. Johnson, A. Demers, J. Ullman, M. Garey, and R. Graham, Worst-Case Performance Bounds for Simple One-Dimensional Packing Algorithms, In: SIAM Journal on Computing, vol.3, pp.299-325, 1974.

G. Juve, A. Chervenak, E. Deelman, S. Bharathi, G. Mehta et al., Characterizing and profiling scientific workflows, Future Generation Computer Systems, vol.29, pp.682-692, 2013.

E. Kail, P. , and M. Kozlovszky, A novel adaptive checkpointing method based on information obtained from workflow structure, Computer Science, vol.17, issue.3, 2016.

M. C. Kurt, S. Krishnamoorthy, K. Agrawal, and G. , Fault-tolerant Dynamic Task Graph Scheduling, SC '14, pp.719-730, 2014.

J. Laprie, Dependable computing and fault-tolerance, In: Digest of Papers FTCS, vol.15, pp.2-11, 1985.

C. Lin, T. Chen, and Y. Cheng, On improving fault tolerance for heterogeneous hadoop mapreduce clusters, 2013 International Conference on Cloud Computing and Big Data, pp.38-43, 2013.

. List-of-green500,

C. L. Liu and J. W. Layland, Scheduling algorithms for multiprogramming in a hard-real-time environment, In: Journal of the ACM (JACM), vol.20, pp.46-61, 1973.

R. Lucas, J. Ang, K. Bergman, S. Borkar, W. Carlson et al., Top ten exascale research challenges, DOE ASCAC subcommittee report, pp.1-86, 2014.

M. Mitzenmacher and E. , Probability and Computing: Randomized Algorithms and Probabilistic Analysis, 2005.

R. H. Möhring, Scheduling under Uncertainty: Bounding the Makespan Distribution, Computational Discrete Mathematics: Advanced Lectures, pp.79-97, 2001.

J. A. Moreno, O. S. Unsal, J. Labarta, and A. Cristal, NanoCheckpoints: A Task-Based Asynchronous Dataflow Framework for Efficient and Scalable Checkpoint/Restart, pp.99-102

S. Moulik, R. Chaudhary, and Z. Das, HEARS: A heterogeneous energy-aware real-time scheduler, In: Microprocessors and Microsystems, vol.72, pp.141-9331, 2020.

, In: Architecture Design for Soft Errors, pp.1-41, 2008.

. Pegasus and . Pegasus-workflow-generator,

M. L. Pinedo, Scheduling: Theory, Algorithms, and Systems. 5th, 2016.

A. Pothen and C. Sun, A mapping algorithm for parallel sparse Cholesky factorization, In: SIAM J. on Scientific Computing, vol.14, pp.1253-1257, 1993.

J. S. Provan and M. O. Ball, The Complexity of Counting Cuts and of Computing the Probability that a Graph is Connected, In: SIAM J. Comp, vol.12, issue.4, pp.777-788, 1983.

X. Qin and H. Jiang, A novel fault-tolerant scheduling algorithm for precedence constrained tasks in real-time heterogeneous systems, Parallel Computing, vol.32, pp.331-356, 2006.

W. Qiu, Z. Zheng, X. Wang, and X. Yang, An efficient fault-tolerant scheduling algorithm for periodic real-time tasks in heterogeneous platforms, 16th IEEE International Symposium on Object/component/service-oriented Real-time distributed Computing, pp.1-7, 2013.

, Results with three real frequencies sets

N. B. Rizvandi, A. Y. Zomaya, Y. C. Lee, A. J. Boloori, and J. Taheri, Multiple frequency selection in DVFS-enabled processors to minimize energy consumption, In: Energy-Efficient Distributed Computing Systems, pp.443-463, 2012.

M. Safari and R. Khorsand, Energy-aware scheduling algorithm for time-constrained workflow tasks in DVFS-enabled cloud environment, In: Simulation Modelling Practice and Theory, vol.87, pp.1569-190, 2018.

A. Schrijver, Combinatorial Optimization: Polyhedra and Efficiency, vol.24, 2003.

D. Sculli, The Completion Time of PERT Networks, In: The Journal of the Operational Research Society, vol.34, issue.2, pp.155-158, 1983.

S. Shahul and O. Sinnen, Scheduling Task Graphs Optimally with A*, J. Supercomput, vol.51, pp.310-332, 2010.

M. Shantharam, S. Srinivasmurthy, and P. Raghavan, Fault Tolerant Preconditioned Conjugate Gradient for Sparse Linear System Solution, In: ICS. ACM, 2012.

S. Z. Sheikh and M. A. Pasha, Energy-Efficient Multicore Scheduling for Hard Real-Time Systems: A Survey, In: ACM Trans. Embed. Comput. Syst, vol.17, issue.6, 2018.

R. F. Silva, W. Chen, G. Juve, K. Vahi, and E. Deelman, Community resources for enabling research in distributed scientific workflows, 2014 IEEE 10th International Conference on, vol.1, pp.177-184, 2014.

R. M. Van-slyke, Monte Carlo Methods and the PERT Problem, Operations Research, vol.11, issue.5, pp.839-860, 1963.

D. C. Snowdon, G. Van-der-linden, S. M. Petters, and G. Heiser, Accurate run-time prediction of performance degradation under frequency scaling, Workshop on Operating Systems Platforms for Embedded Real-Time applications, p.58, 2007.

R. Sridharan and R. Mahapatra, Reliability Aware Power Management for Dual-processor Real-time Embedded Systems, Proceedings of the 47th Design Automation Conference. DAC '10, pp.819-824, 2010.

O. Subasi, G. Yalcin, F. Zyulkyarov, O. Unsal, and J. Labarta, Designing and Modelling Selective Replication for Fault-Tolerant HPC Applications, 2017.

O. Subasi, O. S. Ünsal, J. Labarta, G. Yalcin, and A. Cristal, CRC-Based Memory Reliability for Task-Parallel HPC Applications, pp.1101-1112, 2016.

A. Taherin, M. Salehi, and A. Ejlali, Reliability-Aware Energy Management in Mixed-Criticality Systems, IEEE Transactions on Sustainable Computing, 2018.

T. Tobita and H. Kasahara, A standard task graph set for fair evaluation of multiprocessor scheduling algorithms, In: Journal of Scheduling, vol.5, pp.379-394, 2002.

R. Tolosana-calasanz, J. Á. Bañares, P. Álvarez, J. Ezpeleta, and O. Rana, An uncoordinated asynchronous checkpointing model for hierarchical scientific workflows, In: Journal of Computer and System Sciences, vol.76, issue.6, pp.403-415, 2010.

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, pp.260-274, 2002.

S. Toueg and Ö. Babaoglu, On the Optimum Checkpoint Selection Problem, In: SIAM J. Comput, vol.13, p.3, 1984.

T. Tsai, Y. Chen, X. He, and C. Li, STEM: A Thermal-Constrained Real-Time Scheduling for 3D Heterogeneous-ISA Multicore Processors, IEEE Transactions on Computers, vol.67, issue.6, pp.2326-3814, 2018.

J. Valdes, R. E. Tarjan, and E. L. Lawler, The Recognition of Series Parallel Digraphs, Proc. of STOC'79, pp.1-12, 1979.

E. B. Valentin, Scheduling hard real-time tasks in heterogeneous multiprocessor platforms subject to energy and temperature constraints, 2017.

L. G. Valiant, The Complexity of Enumeration and Reliability Problems, In: SIAM J. Comput, vol.8, issue.3, pp.410-421, 1979.

P. Wang, K. Zhang, R. Chen, H. Chen, and H. Guan, Replication-Based Fault-Tolerance for Large-Scale Graph Processing, 2014 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, pp.562-573, 2014.

C. Weaver, J. Emer, S. S. Mukherjee, and S. K. Reinhardt, Techniques to reduce the soft error rate of a high-performance microprocessor, In: ACM SIGARCH Computer Architecture News, vol.32, p.264, 2004.

M. Wilde, M. Hategan, J. M. Wozniak, B. Clifford, D. S. Katz et al., Swift: A language for distributed parallel scripting, In: Parallel Computing, vol.37, pp.633-652, 2011.

K. Wolstencroft, R. Haines, D. Fellows, A. Williams, D. Withers et al., The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud, In: Nucleic acids research, p.328, 2013.

X. Xiao, G. Xie, C. Xu, C. Fan, R. Li et al., Maximizing reliability of energy constrained parallel applications on heterogeneous distributed systems, In: Journal of Computational Science, vol.26, pp.1877-7503, 2018.

G. Xie, G. Zeng, X. Xiao, R. Li, and K. Li, Energy-Efficient Scheduling Algorithms for Real-Time Parallel Applications on Heterogeneous Distributed Embedded Systems, IEEE Transactions on Parallel and Distributed Systems, vol.28, pp.2161-9883, 2017.

G. Xie, Y. Chen, X. Xiao, C. Xu, R. Li et al., Energy-efficient fault-tolerant scheduling of reliable parallel applications on heterogeneous distributed embedded systems, IEEE Transactions on Sustainable Computing, vol.3, pp.167-181, 2018.

G. Xie, G. Zeng, R. Li, and K. Li, Scheduling Parallel Applications on Heterogeneous Distributed Systems, 2019.

H. Xu, R. Li, C. Pan, and K. Li, Minimizing energy consumption with reliability goal on heterogeneous embedded systems, Journal of Parallel and Distributed Computing, vol.127, pp.44-57, 2019.

C. Yang, J. Chen, T. Kuo, and L. Thiele, An approximation scheme for energy-efficient scheduling of real-time tasks in heterogeneous multiprocessor systems, pp.694-699, 2009.

H. Zahaf, A. E. Benyamina, R. Olejnik, and G. Lipari, Energy-efficient scheduling for moldable real-time tasks on heterogeneous computing platforms, In: Journal of Systems Architecture, vol.74, pp.1383-7621, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01436209

H. Zahaf, N. Capodieci, R. Cavicchioli, M. Bertogna, and G. Lipari, A C-DAG task model for scheduling complex real-time tasks on heterogeneous platforms: preemption matters, 2019.
URL : https://hal.archives-ouvertes.fr/hal-01971594

F. Zhang, C. Docan, M. Parashar, S. Klasky, N. Podhorszki et al., Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform, Proc. 26th IEEE IPDPS, pp.1352-1363, 2012.

B. Zhao, H. Aydin, and D. Zhu, Energy management under general task-level reliability constraints, In: 18th Real-Time and Embedded Technology and Applications Symposium (RTAS)

. Ieee, , pp.285-294, 2012.

J. Zhou, T. Wei, M. Chen, X. S. Hu, Y. Ma et al., Variation-aware task allocation and scheduling for improving reliability of real-time MPSoCs, In: DATE, pp.171-176, 2018.

W. Zhu, H. Chen, and F. Hu, ASC: Improving spark driver performance with automatic spark checkpoint, 2016 18th International Conference on Advanced Communication Technology (ICACT), pp.607-611, 2016.

J. Zhuo and C. Chakrabarti, System-level energy-efficient dynamic task scheduling, Proceedings of the 42nd annual Design Automation Conference, pp.628-631, 2005.

L. Han, L. Canon, H. Casanova, Y. Robert, and F. Vivien, Checkpointing Workflows for Fail-Stop Errors, IEEE Transactions on Computers, vol.67, pp.2326-3814, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01701611

L. Han, V. L. Fèvre, L. Canon, Y. Robert, and F. Vivien, A generic approach to scheduling and checkpointing workflows, The International Journal of High Performance Computing Applications, vol.33, pp.1255-1274, 2019.
URL : https://hal.archives-ouvertes.fr/hal-01798627

, Articles in International Refereed Conferences

L. Han, J. Liu, T. Zhou, J. Sun, and X. Chen, Safety Requirements Specification and Verification for Railway Interlocking Systems, 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC), vol.1, pp.335-340, 2016.

L. Han, L. Canon, H. Casanova, Y. Robert, and F. Vivien, Checkpointing Workflows for Fail-Stop Errors, 2017 IEEE International Conference on Cluster Computing (CLUSTER). Honolulu, pp.487-497, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01701611

L. Han, V. Le-fèvre, L. Canon, Y. Robert, and F. Vivien, A Generic Approach to Scheduling and Checkpointing Workflows, Proceedings of the 47th International Conference on Parallel Processing, vol.28, pp.1-28, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01798627

L. Han, L. Canon, J. Liu, Y. Robert, and F. Vivien, Improved energy-aware strategies for periodic real-time tasks under reliability constraints, 40th IEEE Real-Time Systems Symposium (RTSS). IEEE, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02056520