Mateusz Guzek

Orcid: 0000-0002-0488-6115

According to our database1, Mateusz Guzek authored at least 27 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2016
Minimum Dependencies Energy-Efficient Scheduling in Data Centers.
IEEE Trans. Parallel Distributed Syst., 2016

Achieving Energy Efficiency in Cloud Brokering.
CoRR, 2016

A Novel Co-evolutionary Approach for Constrained Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Service Performance Pattern Analysis and Prediction of Commercially Available Cloud Providers.
Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science, 2016

Comparisons of Heat Map and IFL Technique to Evaluate the Performance of Commercially Available Cloud Providers.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015
Cloud Brokering: Current Practices and Upcoming Challenges.
IEEE Cloud Comput., 2015

A Survey of Evolutionary Computation for Resource Management of Processing in Cloud Computing [Review Article].
IEEE Comput. Intell. Mag., 2015

Evalix: Classification and Prediction of Job Resource Consumption on HPC Platforms.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2015

Cloud service providers ranking based on service delivery and consumer experience.
Proceedings of the 4th IEEE International Conference on Cloud Networking, 2015

An Evaluation Model for Selecting Cloud Services from Commercially Available Cloud Providers.
Proceedings of the 7th IEEE International Conference on Cloud Computing Technology and Science, 2015

HEROS: Energy-Efficient Load Balancing for Heterogeneous Data Centers.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
A holistic model of the performance and the energy efficiency of hypervisors in a high-performance computing environment.
Concurr. Comput. Pract. Exp., 2014

Multi-objective evolutionary algorithms for energy-aware scheduling on distributed computing systems.
Appl. Soft Comput., 2014

ParaMASK: A Multi-Agent System for the efficient and dynamic adaptation of HPC workloads.
Proceedings of the 2014 IEEE International Symposium on Signal Processing and Information Technology, 2014

HPC Performance and Energy-Efficiency of the OpenStack Cloud Middleware.
Proceedings of the 43rd International Conference on Parallel Processing Workshops, 2014

2013
HPC Performance and Energy-Efficiency of Xen, KVM and VMware Hypervisors.
Proceedings of the 25th International Symposium on Computer Architecture and High Performance Computing, 2013

Using data-flow analysis in MAS for power-aware HPC runs.
Proceedings of the International Conference on High Performance Computing & Simulation, 2013

System Design and Implementation Decisions for ParaMoise Organizational Model.
Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013

A Holistic Model of the Performance and the Energy-Efficiency of Hypervisors in an HPC Environment.
Proceedings of the Energy Efficiency in Large Scale Distributed Systems, 2013

A Holistic Model for Resource Representation in Virtualized Cloud Computing Data Centers.
Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013

ParaMoise: increasing capabilities of parallel execution and reorganization in an organizational model.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012
Memetic Algorithms for Energy-Aware Computation and Communications Optimization in Computing Clusters.
Proceedings of the Handbook of Energy-Aware and Green Computing - Two Volume Set., 2012

2011
Energy-aware fast scheduling heuristics in heterogeneous computing systems.
Proceedings of the 2011 International Conference on High Performance Computing & Simulation, 2011

Scalable and Energy-Efficient Scheduling Techniques for Large-Scale Systems.
Proceedings of the 11th IEEE International Conference on Computer and Information Technology, 2011

2010
A Cellular Genetic Algorithm for scheduling applications and energy-aware communication optimization.
Proceedings of the 2010 International Conference on High Performance Computing & Simulation, 2010


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