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Profil

GUZEK Mateusz

Main Referenced Co-authors
BOUVRY, Pascal  (27)
PECERO, Johnatan  (9)
DANOY, Grégoire  (7)
VARRETTE, Sébastien  (7)
WAGLE, Shyam Sharan  (5)
Main Referenced Keywords
Scheduling (3); Cloud Brokering (2); Cloud Computing (2); scheduling (2); Cloud (1);
Main Referenced Unit & Research Centers
ULHPC - University of Luxembourg: High Performance Computing (13)
Main Referenced Disciplines
Computer science (28)

Publications (total 28)

The most downloaded
1155 downloads
Guzek, M., Bouvry, P., & Talbi, E.-G. (May 2015). A Survey of Evolutionary Computation for Resource Management of Processing in Cloud Computing. IEEE Computational Intelligence Magazine, 10 (2), 53-67. doi:10.1109/MCI.2015.2405351 https://hdl.handle.net/10993/20857

The most cited

95 citations (Scopus®)

Guzek, M., Bouvry, P., & Talbi, E.-G. (May 2015). A Survey of Evolutionary Computation for Resource Management of Processing in Cloud Computing. IEEE Computational Intelligence Magazine, 10 (2), 53-67. doi:10.1109/MCI.2015.2405351 https://hdl.handle.net/10993/20857

Musial, J., Kieffer, E., Guzek, M., Danoy, G., Wagle, S. S., Bouvry, P., & Blazewicz, J. (2019). Cloud Brokering with Bundles: Multi-objective Optimization of Services Selection. Foundations of Computing and Decision Sciences. doi:10.2478/fcds-2019-0020
Peer Reviewed verified by ORBi

Wagle, S. S., Guzek, M., & Bouvry, P. (2016). Service Performance Pattern Analysis and Prediction of Commercially Available Cloud Providers. In Service Performance Pattern Analysis and Prediction of Commercially Available Cloud Providers (pp. 8). doi:10.1109/CloudCom.2016.17
Peer reviewed

Kieffer, E., Guzek, M., Danoy, G., Bouvry, P., & Nagih, A. (2016). A Novel Co-evolutionary Approach for Constrained Genetic Algorithms. In Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion (pp. 47--48). New York, NY, USA, Unknown/unspecified: ACM. doi:10.1145/2908961.2908969
Peer reviewed

Wagle, S. S., Guzek, M., Bouvry, P., & Bisdorff, R. (2016). Comparisons of Heat Map and IFL Technique to Evaluate the Performance of Commercially Available Cloud Providers. In IEEE, 2016 IEEE 9th International Conference on Cloud Computing (pp. 529-536). United States: IEEE.
Peer reviewed

Zotkiewicz, M., Guzek, M., Kliazovich, D., & Bouvry, P. (2016). Minimum Dependencies Energy-Efficient Scheduling in Data Centers. IEEE Transactions on Parallel and Distributed Systems. doi:10.1109/TPDS.2016.2542817
Peer Reviewed verified by ORBi

Wagle, S. S., Guzek, M., Bouvry, P., & Bisdorff, R. (2015). An Evaluation Model for Selecting Cloud Services from Commercially Available Cloud Providers. In 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom) (pp. 1-8). doi:10.1109/CloudCom.2015.94
Peer reviewed

Wagle, S. S., Guzek, M., & Bouvry, P. (2015). Cloud Service Providers Ranking Based on Service Delivery and Consumer Experience. In 2015 IEEE 4th International Conference on Cloud Networking (CloudNet) (pp. 209-212). doi:10.1109/CloudNet.2015.7335308
Peer reviewed

Emeras, J., Varrette, S., Guzek, M., & Bouvry, P. (2015). Evalix: Classification and Prediction of Job Resource Consumption on HPC Platforms. In Proc. of the 19th Intl. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP'15), part of the 29th IEEE/ACM Intl. Parallel and Distributed Processing Symposium (IPDPS 2015). IEEE Computer Society.
Peer reviewed

Guzek, M., Bouvry, P., & Talbi, E.-G. (May 2015). A Survey of Evolutionary Computation for Resource Management of Processing in Cloud Computing. IEEE Computational Intelligence Magazine, 10 (2), 53-67. doi:10.1109/MCI.2015.2405351
Peer reviewed

Guzek, M., Gniewek, A., Bouvry, P., Musial, J., & Blazewicz, J. (March 2015). Cloud Brokering: Current Practices and Upcoming Challenges. IEEE Cloud Computing, 2 (2). doi:10.1109/MCC.2015.32
Peer Reviewed verified by ORBi

Guzek, M., Kliazovich, D., & Bouvry, P. (2015). HEROS: Energy-Efficient Load Balancing for Heterogeneous Data Centers. In 8th IEEE International Conference on Cloud Computing IEEE CLOUD 2015. doi:10.1109/CLOUD.2015.103
Peer reviewed

Guzek, M. (2014). Holistic, Autonomic, and Energy-aware Resource Allocation in Cloud Computing [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/19946

Guzek, M., Besseron, X., Varrette, S., Danoy, G., & Bouvry, P. (2014). ParaMASK: a Multi-Agent System for the Efficient and Dynamic Adaptation of HPC Workloads. In 14th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2014).
Peer reviewed

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

Varrette, S., Plugaru, V., Guzek, M., Besseron, X., & Bouvry, P. (2014). HPC Performance and Energy-Efficiency of the OpenStack Cloud Middleware. In Proc. of the 43rd Intl. Conf. on Parallel Processing (ICPP-2014), Heterogeneous and Unconventional Cluster Architectures and Applications Workshop (HUCAA'14). Minneapolis, MN, US, Unknown/unspecified: IEEE.
Peer reviewed

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

Varrette, S., Guzek, M., Plugaru, V., Besseron, X., & Bouvry, P. (2013). HPC Performance and Energy-Efficiency of Xen, KVM and VMware Hypervisors. In Proc. of the 25th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2013).
Peer reviewed

Guzek, M., Danoy, G., & Bouvry, P. (2013). System Design and Implementation Decisions for ParaMoise Organizational Model. In Proceedings of the 2013 Federated Conference on Computer Science and Information Systems (pp. 999-1005).
Peer reviewed

Guzek, M., Danoy, G., & Bouvry, P. (2013). ParaMoise: Increasing Capabilities of Parallel Execution and Reorganization in an Organizational Model. In T. Ito, C. Jonker, M. Gini, ... O. Shehory (Eds.), Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems, AAMAS'13.
Peer reviewed

Varrette, S., Danoy, G., Guzek, M., Besseron, X., & Bouvry, P. (2013). Using Data-flow analysis in MAS for power-aware HPC runs. In Proc. of the IEEE Intl. Conf. on High Performance Computing and Simulation (HPCS'13). IEEE Computer Society. doi:10.1109/HPCSim.2013.6641407

Guzek, M., Kliazovich, D., & Bouvry, P. (2013). A Holistic Model for Resource Representation in Virtualized Cloud Computing Data Centers. In IEEE International Conference on Cloud Computing Technology, Bristol, UK, 2013. doi:10.1109/CloudCom.2013.84
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

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

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

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

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