Prof Jaroslaw (Jarek) Nabrzyski, PhD
  • Jarek Nabrzyski, PhD

  • Director, Center for Research Computing
  • 110 Information Technology Center
  • This email address is being protected from spambots. You need JavaScript enabled to view it.
  • 574-631-2400

Research Interests

  • Resource management in distributed systems (grids, clouds)
  • Scientific computing
  • Multicriteria optimization and decision making

Current Research Projects

  1. DASPOS: Data and Software Preservation for Open Science (NSF)
  2. VectorBase (NIH/NIAID)
  4. DARPA SIMBA: Secure Messaging on a Blockchain Architecture
  6. NSF Polar-HPDC
  7. NSF WholeTale
  8. NSF Workshops on Gauging the Impact of Requirements for Public Access to Data

Books and Proceedings

  1. J. Nabrzyski, J.M.Schopf, J.Weglarz (eds.), “Grid Resource Management: State of the Art and Future Trends”, Kluwer Academic Publishers, 2003.
  2. D. Albada, G. Allen, J. Dongarra, J. Nabrzyski, E. Seidel, P. Sloot (eds.), Proceedings of the International Conference on Computational Science (ICCS 2009).

Referred Papers

  1. Kurowski, K., Nabrzyski, J., Pukacki, J., Multicriteria Resource Management Architecture for the Grid, in Proceedings of the 4th Globus Retreat, Pittsburgh PA, USA, 2001.
  2. K. Kurowski, J. Nabrzyski, and J. Pukacki: “User Preference Driven Multiobjective Resource Management in Grid Environments”, In Proceedings of the First IEEE/ACM International Symposium on Cluster Computing and Grid, CCGRID 2001, Brisbane, Australia, 2001.
  3. A. Binczewski, N. Meyer, J. Nabrzyski, S. Starzak, M. Stroinski, J. Weglarz: "First experiences with the Polish Optical Internet", Computer Networks, Vol. 37, Issue 6, December 2001, pp. 747-760
  4. G.Allen, E.Seidel, B.Ludwiczak, J.Nabrzyski, J.Pukacki et al.: “Early Experiences with the eGrid Testbed”; CCGRID 2001 May 2001, Brisbane, Australia.
  5. J. Nabrzyski, K. Kurowski, A. Oleksiak, J. Weglarz, “Multicriteria Aspects of Grid Resource Management”, in book: Grid Resource Management – State of the Art and Future Trends”, in J. Nabrzyski, J. Schopf, J.Weglarz (eds.), Kluwer Academic Publishers, 2003.
  6. Kurowski, K., Ludwiczak, B., Nabrzyski, J., Oleksiak, A., Pukacki, J., Improving Grid Level Throughput Using Job Migration and Rescheduling Techniques in GRMS, Scientific Programming, IOS Press. Amsterdam The Netherlands, pp. 263-273, 2004
  7. Marcin Adamski, Piotr Grabowski, Krzysztof Kurowski, Bartek Lewandowski, Bogdan Ludwiczak, Jarek Nabrzyski, Ariel Oleksiak, Tomek Piontek, Juliusz Pukacki, Radosław Strugalski, “GridLab Middleware Services for Managing Dynamic Computational and Collaborative Infrastructures (VOs)”, In Proceedings of the Mardi Gras Conference 2005, Baton Rouge, USA.
  8. Adamski, M., Kurowski, K., Strugalski, R., Nabrzyski, J., The Grid Authorization Service - Internal Design, Interaction with External Services and Management, Cracow Grid Workshop Proceedings, Krakow, Poland, 2004.
  9. Piotr Domagalski, Krzysztof Kurowski, Ariel Oleksiak, Jarek Nabrzyski, Zoltán Balaton, Gábor Gombás, Péter Kacsuk, “Sensor Oriented Grid Monitoring Infrastructures For Adaptive Multi-Criteria Resource Management Strategies”, in Proceedings of the 1st CoreGrid Workshop 2005, Pisa, Italy
  10. Krzysztof Kurowski, Ariel Oleksiak, Jarek Nabrzyski, Agnieszka Kwiecien, Marcin Wojtkiewicz, Maciej Dyczkowski, Francesc Guim, Julita Corbalan, Jesus Labarta, „Multi-criteria Grid Resource Management using Performance Prediction Techniques“, in Proceedings of the 1st CoreGrid Workshop 2005, Pisa, Italy.
  11. Krzysztof Kurowski, Jarek Nabrzyski, Maciej Stroinski et al., "Towards eScience and Information Society - PSNC experiences with new generation networks, grid computing and portals”, in Proceedings of the IST Africa Conference, Pretoria, May 2006.
  12. Kurowski, K., Nabrzyski, J., Oleksiak, A., Weglarz, J., Scheduling Jobs on the Grid - Multicriteria Approach. In Computational Methods in Science and Technology, OWN, Poznan, 2006
  13. Krzysztof Kurowski, Jarek Nabrzyski, Ariel Oleksiak, Jan Węglarz, „Grid Multicriteria Job Scheduling with Resource Reservation and Prediction Mechanisms“, in book J. Jozefowska, J, Weglarz (eds.), Perspectives in modern project scheduling, Springer, 2006.
  14. A. Oleksiak, A. Tullo, P. Graham, T. Kuczyński, J. Nabrzyski, D. Szejnfeld, T. Sloan, „HPC-Europa: Towards Uniform Access to European HPC Infrastructures” , in Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing, November 2005, Seattle USA.
  15. A. Oleksiak, A. Tullo, P. Graham, T. Kuczyński, J. Nabrzyski, D. Szejnfeld, T. Sloan, „HPC-Europa Single Point of Access as a Framework for Building Science Gateways“, in journal of Concurrency and Computation: Practice and Experience, Wiley, 2006
  16. Gabrielle Allen, Jarek Nabrzyski, Ed Seidel, et al., Enabling Applications on the Grid - A GridLab Overview. International Journal on High Performance Computing Applications, Volume 17, No. 4, Winter 2003, pp. 449-466.
  17. Gabrielle Allen, Dave Angulo, Tom Goodale, Thilo Kielmann, André Merzky, Jarek Nabrzyski, Juliusz Pukacki, Michael Russell, Thomas Radke, Ed Seidel, John Shalf, Ian Taylor. GridLab: Enabling Applications on the Grid. Grid2002, 3rd International Workshop on Grid Computing, held in conjunction with Supercomputing 2002. Published as LNCS Vol. 2536, pp. 39-45, Postscript.
  18. Paul Graham, Matti Heikkurinen, Jarek Nabrzyski, Ariel Oleksiak, Mark Parsons, Heinz Stockinger, Kurt Stockinger, Maciej Stroinski, Jan Weglarz. „EU Funded Grid Development in Europe“, 2nd European Across Grids Conference, Nicosia, Cyprus, Jan. 28-30, 2004. Springer Verlag, LNCS.
  19. Alexander Reinefeld, Omer F. Rana, Jarek Nabrzyski, David W. Walker, Metacomputing and Grid Computing, Lecture Notes In Computer Science; Vol. 2150, Proceedings of the 7th International Euro-Par Conference on Parallel Processing, Pages: 805 - 816, 2001
  20. Nabrzyski, Mazurek, Kosiedowski, Kurowski, „Workflow applications in the PROGRESS and GridLab environments“ in Journal of Concurrency and Computation: Practice and Experience, “Grid Workflows”, 2006.
  21. Giovanni Aloisio, Massimo Cafaro, Italo Epicco, Jarek Nabrzyski, The EU GridLab Project: A Grid Application Toolkit and Testbed, in book „Engineering The Grid: Status and Perspective“, Beniamino Di Martino, Jack Dongarra, Adolfy Hoisie, Laurence Tianruo Yang, Hans Zima, American Scientific Publishers 2006.
  22. Kurowski, K., Oleksiak, A., Nabrzyski, J., Integration of the eNANOS execution framework with GRMS for Grid purposes. In Proceedings of the CoreGRID Integration Workshop 2006, Springer-Verlag, pp.47-54, 2006
  23. Jarek Nabrzyski, Krzysztof Kurowski, Piotr Grabowski, „Improving context sensitive mobile access to grid environments and VO workspaces“, in proceedings of the The 7th International Conference on Mobile Data Management (MDM'06) conference, Nara, Japan.
  24. Manolis Tsiknakis, Christine Desmedt, Jarek Nabrzyski at al., „A Semantic Grid Infrastructure Enabling Integrated Access and Analysis of Multilevel Biomedical Data in Support of Postgenomic Clinical Trials on Cancer“, in a journal IEEE Transactions on Information Technology in Biomedicine, vol. 12(2), pp. 205-217, 2008.
  25. Kurowski K., Nabrzyski J., Oleksiak A., Weglarz J., “Grid Scheduling Simulations with GSSIM”, in proceedings of SRMPDS'07 at ICPADS'07, Hsinchu, Taiwan, December 2007.
  26. Kurowski, K., Nabrzyski, J., Oleksiak A., Weglarz, J., Multicriteria Approach to Two-level Hierarchy Scheduling in Grids. Journal of Scheduling, ISSN: 1094-6136 (Print) 1099-1425 (Online), Springer Netherlands, 8 February 2008.
  27. Daniel S. Katz, Gabrielle Allen, Jarek Nabrzyski et al., “Louisiana: A Model for Advancing Regional e-Science through Cyberinfrastructure”, Philosophical Transactions of the Royal Society Academy, UK, 2008.
  28. D. Szejnfeld, P. Dziubecki, J. Nabrzyski, et al., Vine Toolkit – Towards Portal-based Production Solutions for Scientific and Engineering Communities with Grid-enabled Resources Support, in. Scalable Computing: Practice and Experience, vol. 11, No. 2, pp. 161-172, 2010.
  29. K. Kurowski, A. Oleksiak, M. Witkowski, J. Nabrzyski, Distributed Power Management and Control System for Sustainable Computing Environments, Proceedings of the IEEE Green Computing 2010 Conference, Chicago.
  30. A. Alber, J. Nabrzyski, T. Wright, “The HUBzero Platform – Extensions and Impressions” 3rd International Workshop on Science Gateways for Life Sciences (IWSG- Life2011), London, UK, June 2011.
  31. Flynn, P., Thain, D., Morgan, E. L., Nabrzyski, J. and Skendzel, D., "The Digital Assets Strategy and Management of Research Data at the University of Notre Dame. University of Notre Dame position paper, PDF 
  32. Malawski, M., Bubak, M., & Nabrzyski, J., GridSpace Scripting Environment - from Common Component Architecture to Cloud Components, CCA'11 Workshop: Cloud Computing and Its Applications, Argonne National Laboratory, 2011.
  33. J. Nabrzyski, K. Kurowski, D.S. Katz, A. Merzky, Grid Computing: The Next Decade - Report and Summary, 2012.
  34. M. Malawski, G. Juve, E. Deelman, J. Nabrzyski, Cost- and Deadline-Constrained Provisioning for Scientific Workflow Ensembles in IaaS Clouds, IEEE Supercomputing 2012, Salt Lake City, USA.
  35. I. Pietri, M. Malawski, G. Juve, E. Deelman, J. Nabrzyski, R. Sakellariou, Energy-Constrained Provisioning for Scientific Workflow Ensembles, 3rd International Conference onCloud and Green Computing (CGC), 2013, PDF 
  36. E. Deelman, G. Juve, M. Malawski, J. Nabrzyski, "Hosted Science: Managing Computational Workflows in the Cloud", in Parallel Processing Letters, 2013
  37. M. Malawski, K. Figiela, J. Nabrzyski, Cost Minimization for Computational Applications on Hybrid Cloud Infrastructures, Journal of Future Generation Computer Systems, in press, Elsevier, 2013, doi:10.1016/j.future.2013.01.004
  38. F.A. Armenta-Cano, A. Tchernykh, R. Yahyapour, J. Nabrzyski: "Operational Cost Optimization of Virtual Machine Provisioning in Federated IaaS Clouds", Proceedings of ISUM 2014 - 5th International Supercomputing Conference in Mexico, Ensenada, B.C., México (March 18-21, 2014) 
  39. Gesing, S., Nabrzyski, J., and Jha, S. (in-print): Gateways to High-Perfomance and Distributed Computing Resources for Global Health Challenges IHTC 2014 (International Humanitarian Technology Conference), June 1-4, 2014, Montreal, Canada
  40. Nabrzyski, J., Liu, C., Vardeman, C., Gesing, S., and Budhatoki, M. (2014), Agriculture Data for All: Integrated Tools for Agriculture Data Integration, Analytics and Sharing
    Big Data (BigData Congress), 2014 IEEE International Congress on, pp.774-775, doi: 10.1109/BigData.Congress.2014.117
  41. Mazurek, C., Pukacki, J., Kosiedowski, M., Trocha, S., Darbari, H., Saxena, A., Joshi, R., Brenner, P., Gesing, S., Nabrzyski, J., Sullivan, M., Dubhashi, D., Thankaswamy, S., and Srivastava, A. (2014),  Federated Clouds for Biomedical Research: Integrating OpenStack for ICTBioMed,  Cloud Networking (CloudNet), 2014 IEEE 3rd International Conference on, pp.294-299, 8-10 Oct. 2014, doi: 10.1109/CloudNet.2014.6969011
  42. M. Malawski, K. Figiela, M. Bubak, E. Deelman, J. Nabrzyski, "Cost Optimization of Execution of Multi-level Deadline-constrained Scientific Workflows on Clouds", Journal of Scientific Programming, 2015, PDF
  43. M. Malawski, G. Juve, E. Deelman, J. Nabrzyski: "Cost- and Deadline-Constrained Provisioning for Scientific Workflow Ensembles in IaaS Clouds", in Future Generation Computer Systems, 2015, PDF 
  44. H. Ferguson, S. Gesing, J. Nabrzyski. Measuring Usability in Decision Tools Supporting Collaborations for Environmental Disaster Response. In Proceedings of Hawaii International Conference on System Sciences (HICSS-49), January 2016
  45. H. Ferguson, C. Vardeman II, J. Nabrzyski. Linked Data Platform for Building Cloud-Based Smart Applications and Connecting API Access Points with Data Discovery Techniques. IEEE Workshop on Big Data Metadata and Management in conjunction with 2016 IEEE Big Data (BDMM2016).
  46. H. Ferguson, C. Vardeman II, J. Nabrzyski. Linked Data View Methodology and Application to BIM Alignment and Interoperability. The 1st IEEE International  Workshop on Big Spatial Data in conjunction with 2016 IEEE Big Data (BSD2016).
  47. J. Wyngaard, H.Lynch, J.Nabrzyski, A. Pope and S. JhaHacking at the divide between Polar Science and HPC: Using hackathons as training, to appear in JPDPS 2017 EduPar Workshop Proceedings, 2017
  48. K. Li, M. Malawski, J. Nabrzyski, Reducing Fragmentation on 3D Torus-based HPC Systems using Packing-based Job Scheduling and Job Placement Reconfiguration", in Proceedings of 2017 IEEE 16th International Symposium on Parallel and Distributed Computing, July 3-6, 2017.
  49. K. Li, M. Malawski, J. Nabrzyski, Topology-aware Job Allocation in 3D Torus-based HPC Systems with Hard Job Priority Constraints", in Proceedings of The  17th International Conference on Computational Science (ICCS 2017), June 12-14, 2017.
  50. E. Michael, B.K. Singh, B.K. Mayala, M.E. Smith, S. Hampton, J. Nabrzyski, Continental-scale, data-driven predictive assessment of eliminating the vectorborne disease, lymphatic filariasis, in sub-Saharan Africa by 2020, BMC Medicine, 2017, DOI 10.1186/s12916-017-0933-2 (IF: 8.097)
  51. B. Ludascher, M. Jones, K. Kowalik, M. Hategan, B. Mecum, J. Nabrzyski, I. Taylor, M. Turk, V. Stodden, A. Brinckman, N. Gaffney, S. Kulasekaran, K. Turner, Computing Environments for Reproducibility: Capturing the “Whole Tale”, Journal of Future Generation Computer Systems, 2017 (in print, IF 3.8).
  52. A. Brinckman, E. Deelman, S. Gupta, J. Nabrzyski, S. Park, R. Ferreira da Silva, I.T. Taylor, K. Vahi, Collaborative Circuit Design using the CRAFT Repository, Journal of Future Generation Computer Systems, 2017 (in print).
  53. K. Li and J. Nabrzyski, ”Virtual Machine Placement in Cloudlet Mesh with Network Topology Reconfigurability”, in Proceedings of The 6th IEEE International Conference on Cloud Networking (IEEE CloudNet 2017), September 25-27, 2017, Prague, Czech Republic.
  54. K. Li, J. Nabrzyski, Traffic-Aware Virtual Machine Placement in Cloudlet Mesh with Adaptive Bandwidth", in Proceedings of The  9th IEEE International Conference on Cloud Computing Technology and Science (IEEE CloudCom 2017), December 11-14, 2017.
  55. K. Li, M. Malawski, P. Oleksy, J. Nabrzyski, Advances in Topology-aware Scheduling in Multidimensional Torus-based Systems", in New Frontiers in High Performance Computing and Big Data, Geoffrey Fox et al. (Eds.), IOS Press, 2017.
  56. K. Li, M. Malawski, J. Nabrzyski, Topology-Aware Scheduling on BlueWaters with Proactive Queue Scanning and Migration-Based Job Placement", in Proceedings of The  20th Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP 2016) (in conjunction with  IEEE IPDPS 2016), May 27, 2016.
  57. K. Li, J. Nabrzyski, Virtual Machine Placement in Cloudlet Mesh", submitted to  Journal of Communications and Networks (JCN).
  58. K. Li, M. Malawski, J. Nabrzyski, Reducing Internal and External Fragmentation on 3D Torus-based HPC Systems", submitted to  The Journal of Supercomputing.