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DIstributed Computing Environments (DICE) Team
We are a group of computer scientists and IT experts from the Department of Computer Science AGH and ACC Cyfronet AGH. We are a curiosity- and research-driven team, specializing in large-scale distributed computing, HPC, Web and Cloud technologies. We develop new methods, tools and environments and we apply these solutions in e-Science, healthcare and industrial domains.


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Publications

  • Z. Chrząstek, M. Bubak, T. Stopa, and K. Rycerz: Assessment of the IBM-Q Quantum Computer and Its Software Environment, CGW 18 International Workshop, Krakow (2018)

  • Tensor Networks approach to simulating Continuous-Time Stochastic Automata Networks, Bartłomiej Grochal; Master of Science Thesis supervised by Katarzyna Rycerz and Piotr Gawron (IITIS PAN, Gliwice), reviewer: Maciej Woźniak; AGH University of Science and Technology, Department of Computer Science, Krakow, Poland (2018)
    The MSc thesis was defended with the "cum laude" distinction.
    The MSc thesis received a distinction in the competition of the Polish Information Processing Society - PIPS (Polskie Towarzystwo Informatyczne - PTI).

  • Quantum walks in image segmentation, Michał Krok; Master of Science Thesis supervised by Katarzyna Rycerz and Piotr Gawron (IITIS PAN, Gliwice), reviewer: prof. Witold Dzwinel; AGH University of Science and Technology, Department of Computer Science, Krakow, Poland (2018)
    The MSc thesis was defended with the "cum laude" distinction.
    The MSc thesis received the third prize of the Polish Information Processing Society - PIPS (Polskie Towarzystwo Informatyczne - PTI).

  • M. Bobak, A. S. Z. Belloum, P. Nowakowski, J. Meizner, M. Bubak, M. Heikkurinen, O. Habala, and L. Hluchý: Exascale computing and data architectures for brownfield applications. In Fuzzy Systems and Knowledge Discovery (FSKD), 2018 14th International Conference. IEEE, 2018, pp. 461–468, DOI: https://doi.org/10.1109/FSKD.2018.8686900

  • Actor-based tensor network simulation, Mateusz Front, Bartosz Błaszków; Bachelor Thesis supervised by Katarzyna Rycerz; AGH University of Science and Technology, Krakow, Poland (2018)

2017

  • M. Kasztelnik, E. Coto, M. Bubak, M. Malawski, P. Nowakowski, J. Arenas, A. Saglimbeni, D. Testi, A. F. Frangi: Support for Taverna Workflows in the VPH-Share Cloud Platform, Computer Methods and Programs in Biomedicine, 146, 37-46 (2017)

  • B. Baliś, M. Bubak, D. Harezlak, P. Nowakowski, M. Pawlik, and B. Wilk: Towards an operational database for real-time environmental monitoring and early warning systems. Procedia Computer Science 108C, 2250–2259 (2017)

  • B. Baliś, M. Bubak, D. Harezlak, P. Nowakowski, M. Pawlik, and B. Wilk: Smart levee monitoring and flood decision support system: reference architecture and urgent computing management. Procedia Computer Science 108C, 2220–2229 (2017)

  • A. H. Eckes, T. Gubała, P. Nowakowski, T. Szymczyszyn, R. Wells, J. A. Irwin, C. Horro, J. M. Hancock, G. King, S. C. Dyer, W. Jurkowski: Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data [version 1; referees: 3 approved]. F1000Research 2017, 6:465 (doi: 10.12688/f1000research.11301.1) (2017)

  • Akka based support for quantum computing, Mateusz Jaje; Master of Science Thesis supervised by Katarzyna Rycerz; AGH University of Science and Technology, Krakow, Poland (2017)

2016

  • R. Cushing, A. Belloum, M. Bubak, C. de Laat: Towards a data processing plane: An automata-based distributed dynamic data processing model. Future Generation Comp. Syst. 59: 21-32 (2016)

  • S. Koulouzis, A. S. Z. Belloum, M. Bubak, Z. Zhao, M. Zivkovic, C. T. A. M. de Laat: SDN-aware federation of distributed data. Future Generation Comp. Syst. 56: 64-76 (2016)

  • S. Koulouzis, A. Belloum, M. Bubak, P. Lamata, D. Nolte, D. Vasyunin, C. de Laat: Distributed Data Management Service for VPH Applications. IEEE Internet Computing 20(2): 34-41 (2016)

  • P. Bryk, M. Malawski, G. Juve, E. Deelman: Storage-aware Algorithms for Scheduling of Workflow Ensembles in Clouds, Journal of Grid  Computing 14 (2), 359-378, Springer (2016)

  • B. Balis: Hyperflow: A model of computation, programming approach and enactment engine for complex distributed workflows. Future Generation Computer Systems, 55:147 -- 162, 2016 (2016)

  • T. Dziok, K. Figiela, M. Malawski: Adaptive Multi-level Workflow Scheduling with Uncertain Task Estimates, Proceedings of International Conference on Parallel Processing and Applied Mathematics (PPAM 2016), 90-100, Springer (2016)
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