| Serverless execution of scientific workflows: Experiments with hyperflow, aws lambda and google cloud functions M Malawski, A Gajek, A Zima, B Balis, K Figiela Future Generation Computer Systems 110, 502-514, 2020 | 220 | 2020 |
| Cost minimization for computational applications on hybrid cloud infrastructures M Malawski, K Figiela, J Nabrzyski Future Generation Computer Systems 29 (7), 1786-1794, 2013 | 123 | 2013 |
| Performance evaluation of heterogeneous cloud functions K Figiela, A Gajek, A Zima, B Obrok, M Malawski Concurrency and Computation: Practice and Experience 30 (23), e4792, 2018 | 111 | 2018 |
| Scheduling multilevel deadline‐constrained scientific workflows on clouds based on cost optimization M Malawski, K Figiela, M Bubak, E Deelman, J Nabrzyski Scientific Programming 2015 (1), 680271, 2015 | 89 | 2015 |
| Benchmarking heterogeneous cloud functions M Malawski, K Figiela, A Gajek, A Zima Euro-Par 2017: Parallel Processing Workshops: Euro-Par 2017 International …, 2018 | 79 | 2018 |
| Cost optimization of execution of multi-level deadline-constrained scientific workflows on clouds M Malawski, K Figiela, M Bubak, E Deelman, J Nabrzyski Parallel Processing and Applied Mathematics: 10th International Conference …, 2014 | 31 | 2014 |
| Porting HPC applications to the cloud: A multi-frontal solver case study B Balis, K Figiela, K Jopek, M Malawski, M Pawlik Journal of Computational Science 18, 106-116, 2017 | 22 | 2017 |
| A lightweight approach for deployment of scientific workflows in cloud infrastructures B Balis, K Figiela, M Malawski, M Pawlik, M Bubak Parallel Processing and Applied Mathematics: 11th International Conference …, 2016 | 13 | 2016 |
| Performance considerations on execution of large scale workflow applications on cloud functions M Pawlik, K Figiela, M Malawski arXiv preprint arXiv:1909.03555, 2019 | 10 | 2019 |
| Performance evaluation of parallel cloud functions M Pawlik, K Figiela, M Malawski Poster presented at ICPP, 2018 | 8 | 2018 |
| Adaptive multi-level workflow scheduling with uncertain task estimates T Dziok, K Figiela, M Malawski Parallel Processing and Applied Mathematics: 11th International Conference …, 2016 | 8 | 2016 |
| Leveraging workflows and clouds for a multi-frontal solver for finite element meshes B Balis, K Figiela, M Malawski, K Jopek Procedia Computer Science 51, 944-953, 2015 | 6 | 2015 |
| Bridging the gap between HPC and cloud using Hyperflow and paasage D Hoppe, Y Sandoval, A Sulistio, M Malawski, B Balis, M Pawlik, K Figiela, ... Parallel Processing and Applied Mathematics: 12th International Conference …, 2018 | 4 | 2018 |
| Modeling, optimization and performance evaluation of scientific workflows in clouds K Figiela, M Malawski 2014 IEEE Fourth International Conference on Big Data and Cloud Computing …, 2014 | 2 | 2014 |
| Optimization of Resource Allocation on the Cloud K Figiela AGH University of Science and Technology, 2013 | 2 | 2013 |
| Support for scientific workflows in a model-based cloud platform M Malawski, B Balis, K Figiela, M Pawlik, M Bubak 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing …, 2015 | 1 | 2015 |
| Optimization of Scientific Workflow Execution in the Cloud K Figiela | | 2019 |
| PAA AGE M Malawski, B Baliś, K Figiela, M Pawlik, M Bubak | | |
Maciej MalawskiSano Centre for Computational Medicine, and Faculty of Computer Science AGHZweryfikowany adres z agh.edu.pl
