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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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Journal Articles

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)

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)

2015

  • B. Balis: HyperFlow: a model of computation, programming approach and enactment engine for complex distributed workflows. Future Generation Computer Systems, 2015. Accepted (2015)

  • B. Balis, K. Figiela, M. Malawski, and K. Jopek: Leveraging workflows and clouds for a multi-frontal solver for finite-element meshes. Procedia Computer Science, 51:944-953 (2015)

  • B. Balis, M. Kasztelnik, M. Malawski, P. Nowakowski, B. Wilk, M. Pawlik, and M. Bubak: Execution management and efficient resource provisioning for flood decision support. Procedia Computer Science, 51:2377-2386 (2015)

  • W. Funika, P. Koperek: Scaling Evolutionary Programming with use of Apache Spark. Accepted for publication in Computer Science (AGH), e-ISSN 2300-7036, 2016

  • M. Malawski, G. Juve, E. Deelman, J. Nabrzyski: Cost- and Deadline-Constrained Provisioning for Scientific Workflow Ensembles in IaaS Clouds. Future Generation Computer Systems, vol. 48, pp. 1-18 (July 2015)

  • M. Malawski, K. Figiela, M. Bubak, E. Deelman, and J. Nabrzyski: Scheduling multi-level deadline-constrained scientific workflows on clouds based on cost optimization. Scientific Programming (2015)

  • J. Patrzyk, B. Patrzyk, K. Rycerz, M. Bubak: Towards A Novel Environment for Simulation of Quantum Computing. Computer Science (AGH) 16(1): 103- (2015)
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