Profil

PECERO SANCHEZ Johnatan Eliabeth

University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

Main Referenced Co-authors
BOUVRY, Pascal  (36)
DIAZ, Cesar  (10)
GUZEK, Mateusz  (9)
PINEL, Frederic  (9)
Khan, Samee U. (8)
Main Referenced Keywords
Scheduling (11); scheduling (8); Performance of Systems (6); Optimization (4); energy conservation (3);
Main Referenced Unit & Research Centers
ULHPC - University of Luxembourg: High Performance Computing (12)
Main Referenced Disciplines
Computer science (40)

Publications (total 40)

The most downloaded
125 downloads
Hussain, H., Malik, S. U. R., Hameed, A., Khan, S. U., Bickler, G., Min-Allah, N., Qureshi, M. B., Zhang, L., Yongji, W., Ghani, N., Kolodziej, J., Zomaya, A. Y., Xu, C.-Z., Balaji, P., Vishnu, A., Pinel, F., Pecero, J., Kliazovich, D., Bouvry, P., ... Rayes, A. (2013). A survey on resource allocation in high performance distributed computing systems. Parallel Computing, 39 (11), 709 - 736. doi:10.1016/j.parco.2013.09.009 https://hdl.handle.net/10993/13682

The most cited

173 citations (Scopus®)

Valentini, G. L., Lassonde, W., Khan, S. U., Min-Allah, N., Madani, S. A., Li, J., Zhang, L., Wang, L., Ghani, N., Kolodziej, J., Li, H., Zomaya, A. Y., Xu, C.-Z., Balaji, P., Vishnu, A., Pinel, F., Pecero, J., Kliazovich, D., & Bouvry, P. (2011). An overview of energy efficiency techniques in cluster computing systems. Cluster Computing, 16 (1), 3-15. doi:10.1007/s10586-011-0171-x https://hdl.handle.net/10993/9492

COMBARRO SIMON, M.* , DANOY, G., MUSIAL, J., Tchernykh, A., ALSWAITTI, M., PECERO SANCHEZ, J. E., & BOUVRY, P. (2023). Satellite Image Mosaic Combination Problem [Paper presentation]. International Conference on Optimization and Learning, Malaga, Spain.
Peer reviewed

Musial, J.* , COMBARRO SIMON, M., DANOY, G., ALSWAITTI, M., Tchernykh, A., PECERO SANCHEZ, J. E., & BOUVRY, P. (2023). Introduction to the Satellite Image Mosaic Combination Problem [Paper presentation]. ECCO XXXVI CONFERENCE 202, Chania, Greece.
Peer reviewed

Lopez Loces, M., Musial, J., Pecero, J., Fraire, H., Blazewicz, J., & Bouvry, P. (01 March 2016). Exact and heuristic approaches to solve the Internet shopping optimization problem with delivery costs. International Journal of Applied Mathematics and Computer Science, 26, 391-406. doi:10.1515/amcs-2016-0028
Peer Reviewed verified by ORBi

Guzek, M., Pecero, J., Dorronsoro, B., & Bouvry, P. (November 2014). Multi-objective evolutionary algorithms for energy-aware scheduling on distributed computing systems. Applied Soft Computing, 24, 432-446. doi:10.1016/j.asoc.2014.07.010
Peer Reviewed verified by ORBi

Pecero, J., Diaz, C., Castro, H., Villamizar, M., Sotelo, G., & Bouvry, P. (2014). Energy Savings on a Cloud-based Opportunistic Infrastructure. In Service Oriented Computing ICSOC 2013 Workshops (pp. 366-378). Spinger International Publishing. doi:10.1007/978-3-319-06859-6-32
Peer reviewed

Diaz, C., Pecero, J., Bouvry, P., Sotelo, G., Villamizar, M., & Castro, H. (2014). Performance Evaluation of an IaaS Opportunistic Cloud Computing [Poster presentation]. 14th International Symposium on Cluster, Cloud, and Grid Computing, Chicago, United States. doi:10.1109/CCGrid.2014.116

Guzek, M., Varrette, S., Plugaru, V., Pecero, J., & Bouvry, P. (2014). A Holistic Model of the Performance and the Energy-Efficiency of Hypervisors in an HPC Environment. Concurrency and Computation: Practice and Experience. doi:10.1007/978-3-642-40517-4_13
Peer reviewed

Diaz, C., Pecero, J., & Bouvry, P. (2013). Scalable, Low complexity, and fast greedy scheduling heuristics for highly heterogeneous distributed computing systems. Journal of Supercomputing. doi:10.1007/s11227-013-1038-0
Peer reviewed

Kliazovich, D., Pecero, J., Tchernykh, A., Bouvry, P., Khan, S. U., & Zomaya, A. Y. (2013). CA-DAG: Communication-Aware Directed Acyclic Graphs for Modeling Cloud Computing Applications. In Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing (pp. 277--284). Washington, DC, USA, Unknown/unspecified: IEEE Computer Society. doi:10.1109/CLOUD.2013.40
Peer reviewed

Guzek, M., Varrette, S., Plugaru, V., Pecero, J., & Bouvry, P. (2013). A Holistic Model of the Performance and the Energy-Efficiency of Hypervisors in an HPC Environment. In Energy Efficiency in Large Scale Distributed Systems (pp. 133-152). Springer.
Peer reviewed

Diaz, C., Castro, H., Villamizar, M., Pecero, J., & Bouvry, P. (2013). Energy-aware VM allocation on An Opportunistic Cloud Infrastructure. In Proceedings of the 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing. doi:10.1109/CCGrid.2013.96
Peer reviewed

Sotelo, G., Diaz, C., Villamizar, M., Castro, H., Pecero, J., & Bouvry, P. (2013). Bulding Platform as a Service for High Performance Computing over an Opportunistic Cloud Computing. In Algorithms and Architectures for Parallel Processing (pp. 380-389). Springer International Publishing. doi:10.1007/978-3-319-03859-9_33
Peer reviewed

Nesmachnow, S., Dorronsoro, B., Pecero, J., & Bouvry, P. (2013). Energy-Aware Scheduling on Multicore Heterogeneous Grid Computing Systems. Journal of Grid Computing, 11, 653-680. doi:10.1007/s10723-013-9258-3
Peer reviewed

Castro, H., Villamizar, M., Sotelo, G., Diaz, C., Pecero, J., Bouvry, P., & Khan, S. (2013). GFOG: Green and Flexible Opportunistic Grids. In S. Khan, A. Zomaya, ... W. Lizhe (Eds.), Scalable Computing and Communications. Theory and Practice (pp. 365-386). Hoboken, United States - New Jersey: Wiley&Sons.
Peer reviewed

Hussain, H., Malik, S. U. R., Hameed, A., Khan, S. U., Bickler, G., Min-Allah, N., Qureshi, M. B., Zhang, L., Yongji, W., Ghani, N., Kolodziej, J., Zomaya, A. Y., Xu, C.-Z., Balaji, P., Vishnu, A., Pinel, F., Pecero, J., Kliazovich, D., Bouvry, P., ... Rayes, A. (2013). A survey on resource allocation in high performance distributed computing systems. Parallel Computing, 39 (11), 709 - 736. doi:10.1016/j.parco.2013.09.009
Peer Reviewed verified by ORBi

Castro, H., Villamizar, M., Sotelo, G., Diaz, C., Pecero, J., & Bouvry, P. (2012). Green Flexible Opportunistic Computing with task consolidation and virtualization. Cluster Computing. doi:10.1007/s10586-012-0222-y
Peer Reviewed verified by ORBi

Pecero, J., Fraire Huacuja, H. J., Bouvry, P., Santiago Pineda, A. A., López Locés, M. C., & González Barbosa, J. J. (2012). On the Energy Optimization for Precedence Constrained Applications using Local Search Algorithms. In International Conference on High Performance Computing and Simulation (HPCS), 2012 (pp. 133 - 139). doi:10.1109/HPCSim.2012.6266902
Peer reviewed

Barrondo, A., Tchernykh, A., Shaeffer, E., & Pecero, J. (2012). Energy Efficiency of Knowledge-Free Scheduling in Peer-to-Peer Desktop Grids. In 2012 International Conference on High Performance Computing and Simulation (HPCS) (pp. 105-111). IEEE. doi:10.1109/HPCSim.2012.6266898
Peer reviewed

Pecero, J., Dorronsoro, B., Guzek, M., & Bouvry, P. (2012). Memetic Algorithms for Energy-Aware Computation and Communications Optimization in Computing Clusters. In I. Ahmad & S. Ranka (Eds.), Handbook energy-aware and green computing (pp. 443 - 473). Chapman and Hall/CRC Press.

Guzek, M., Diaz, C., Pecero, J., Bouvry, P., & Zomaya, A. Y. (2012). Impact of Voltage Levels Number for Energy-aware Bi-objective DAG Scheduling for Multi-processors Systems. In Advances in Information Technology: 5th International Conference, IAIT 2012, Bangkok, Thailand, December 6-7, 2012, Proceedings (pp. 70-80). Springer.
Peer reviewed

Jimenez Laredo, J. L., Dorronsoro, B., Pecero, J., Bouvry, P., Durillo, J. J., & Fernandes, C. (2012). Designing a Self-organized Approach for Scheduling Bag-of-Tasks. In Designing a Self-organized Approach for Scheduling Bag-of-Tasks (pp. 315-320). doi:10.1109/3PGCIC.2012.28
Peer reviewed

Pinel, F., Dorronsoro, B., Pecero, J., Bouvry, P., & Khan, S. U. (2012). A two-phase heuristic for the energy-efficient scheduling of independent tasks on computational grids. Cluster Computing. doi:10.1007/s10586-012-0207-x
Peer Reviewed verified by ORBi

Pecero, J., Bouvry, P., Fraire Huacuja, H. J., & Khan, S. U. (2011). A Multi-objective GRASP Algorithm for Joint Optimization of Energy Consumption and Schedule Length of Precedence-Constrained Applications. In 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing (DASC) (pp. 510-517). IEEE. doi:10.1109/DASC.2011.97
Peer reviewed

Pecero, J., Pinel, F., Bouvry, P., & Fraire Huacuja, H. J. (2011). A Multi-Objective GRASP for Energy-aware Scheduling. In International Congress on Computer Science Research (pp. 401-414).
Peer reviewed

Diaz, C., Guzek, M., Pecero, J., Bouvry, P., & Khan, S. U. (2011). Scalable and Energy-Efficient Scheduling Techniques for Large-Scale Systems. In Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on (pp. 641-647). doi:10.1109/CIT.2011.106
Peer reviewed

Guzek, M., Pecero, J., Dorronsoro, B., & Bouvry, P. (2011). Energy-Aware Scheduling of Parallel Applications with Multi-Objective Evolutionary Algorithm. In EVOLVE 2011, A bridge between Probability, Set Oriented Numerics and Evolutionary Computation, Bourglinster Castle, Luxembourg, May 25-27 2011 (pp. 1-4).
Peer reviewed

Diaz, C., Guzek, M., Pecero, J., Danoy, G., Bouvry, P., & Khan, S. U. (2011). Energy-Aware Fast Scheduling Heuristics in Heterogeneous Computing Systems. In High Performance Computing and Simulation (HPCS), 2011 International Conference on (pp. 478-484). doi:10.1109/HPCSim.2011.5999863
Peer reviewed

Valentini, G. L., Lassonde, W., Khan, S. U., Min-Allah, N., Madani, S. A., Li, J., Zhang, L., Wang, L., Ghani, N., Kolodziej, J., Li, H., Zomaya, A. Y., Xu, C.-Z., Balaji, P., Vishnu, A., Pinel, F., Pecero, J., Kliazovich, D., & Bouvry, P. (2011). An overview of energy efficiency techniques in cluster computing systems. Cluster Computing, 16 (1), 3-15. doi:10.1007/s10586-011-0171-x
Peer Reviewed verified by ORBi

Pinel, F., Pecero, J., Bouvry, P., & Khan, S. U. (2011). A two-phase heuristic for the scheduling of independent tasks on computational grids. In High Performance Computing and Simulation (HPCS), 2011 International Conference on (pp. 471-477). IEEE. doi:10.1109/HPCSim.2011.5999862
Peer reviewed

Pinel, F., Pecero, J., Bouvry, P., & Khan, S. U. (2011). Energy-efficient scheduling on milliclusters with performance constraints. In Green Computing and Communications (GreenCom), 2011 IEEE/ACM International Conference on. doi:10.1109/GreenCom.2011.16
Peer reviewed

Pinel, F., Pecero, J., Bouvry, P., & Khan, S. (2011). A Review on Task Performance Prediction in Multi-core Based Systems. In Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on. doi:10.1109/CIT.2011.107
Peer reviewed

Pecero, J., Pinel, F., Dorronsoro, B., Danoy, G., Bouvry, P., & Zomaya, A. (2011). Efficient Hierarchical Task Scheduling on GRIDS Accounting for Computation and Communications. In P. Bouvry, H. González-Vélez, ... J. Kolodziej (Eds.), Intelligent Decision Systems in Large-Scale Distributed Environments, 362. Springer.
Peer reviewed

Pecero, J., Varrette, S., & Bouvry, P. (October 2010). Scheduling DAG applications on multi-core processor packages architectures [Paper presentation]. International Conference on Metaheuristics and Nature Inspired Computing 2010, Tunisia.

Pinel, F., Pecero, J., Bouvry, P., & Khan, S. (2010). Memory-aware Green Scheduling on Multi-core Processors. Proceedings of the Second International Workshop on Green Computing, 485 - 488. doi:10.1109/ICPPW.2010.71
Peer reviewed

Pecero, J., Bouvry, P., & Barrios, C. J. (2010). Low energy and high performance scheduling on scalable computing systems. In Proceedings of the Latin-American Conference on High Performance Computing (CLCAR 2010) (pp. 1-8).
Peer reviewed

Pecero, J., & Bouvry, P. (2010). An improved genetic algorithm for efficient scheduling on distributed memory parallel systems. In ACS/IEEE International Conference on Computer Systems and Applications - AICCSA 2010 (pp. 1 - 8). IEEE. doi:10.1109/AICCSA.2010.5587030
Peer reviewed

Blachot, F., Huard, G., Pecero, J., Saule, E., & Trystram, D. (2010). Scheduling Instructions on Hierarchical Machines. In 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW) (pp. 1-8). IEEE. doi:10.1109/IPDPSW.2010.5470711
Peer reviewed

Mahjoub, A., Pecero, J., & Trystram, D. (02 March 2010). Scheduling with uncertainties on new computing platforms. Computational Optimization and Applications, 48 (2), 369-398. doi:10.1007/s10589-009-9311-0
Peer reviewed

Guzek, M., Pecero, J., Dorronsoro, B., Bouvry, P., & Khan, S. U. (2010). A Cellular Genetic Algorithm for Scheduling Applications and Energy-Aware Communication Optimization. In Proceedings of the 2010 International Conference on High Performance Computing & Simulation (pp. 241-248). doi:10.1109/HPCS.2010.5547124
Peer reviewed

Pecero, J., Trystram, D., & Zomaya, A. Y. (2009). A New Genetic Algorithm for Scheduling for Large Communication Delays. In 15th International Euro-Par Conference (pp. 241-252). Springer-Verlag Berlin, Heidelberg. doi:10.1007/978-3-642-03869-3_25
Peer reviewed

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