Journal of Grid Computing

, Volume 14, Issue 4, pp 495–498 | Cite as

Science Gateway Workshops 2015 Special Issue Conference Publications

  • Sandra Gesing
  • Nancy Wilkins-Diehr
  • Michelle Barker
  • Gabriele Pierantoni


  1. 1.
    Aguilera, A., Grunzke, R., Habich, D., Luong, J., Schollbach, D., Markwardt, U., Garcke, J.: Advancing a Gateway Infrastructure for Wind Turbine Data Analysis. J Grid Computing (2016). doi: 10.1007/s10723-016-9376-9
  2. 2.
    Sinnott, R.O., Beuschlein, F., Effendy, J., Eisenhofer, G., Gloeckner, S., Stell, A.: Beyond a Disease Registry: An Integrated Virtual Environment for Adrenal Cancer Research. J Grid Computing (2016). doi: 10.1007/s10723-016-9375-x
  3. 3.
    McGrath, A., McMahon, S., Li, S., Ludbey, J., Ho, T.: The Essential Components of a Successful Galaxy Service. J Grid Computing (2016). doi: 10.1007/s10723-016-9379-6
  4. 4.
    Gesing, S., Krüger, J., Grunzke, R., Herres-Pawlis, S., Hoffmann, A.: Using Science Gateways for Bridging the Differences between Research Infrastructures. J Grid Computing (2016). doi: 10.1007/s10723-016-9385-8
  5. 5.
    Piontek, T., Bosak, B., CiŻnicki, M., Grabowski, P., Kopta, P., Kulczewski, M., Szejnfeld, D., Kurowski, K.: Development of Science Gateways Using QCG — Lessons Learned from the Deployment on Large Scale Distributed and HPC Infrastructures. J Grid Computing (2016). doi: 10.1007/s10723-016-9384-9
  6. 6.
    D’Agostino, D., Danovaro, E., Clematis, A., Roverelli, L., Zereik, G., Galizia, A.: From Lesson Learned to the Refactoring of the DRIHM Science Gateway for Hydro-meteorological Research. J Grid Computing (2016). doi: 10.1007/s10723-016-9377-8
  7. 7.
    Gugnani, S., Blanco, C., Kiss, T., Terstyanszky, G.: Extending Science Gateway Frameworks to Support Big Data Applications in the Cloud. J Grid Computing (2016). doi: 10.1007/s10723-016-9369-8
  8. 8.
    Sinnott, R.O., Bayliss, C., Bromage, A., Galang, G., Gong, Y., Greenwood, P., Jayaputera, G., Marques, D., Morandini, L., Nogoorani, G., Pursultani, H., Sarwar, M., Voorsluys, W., Widjaja, I.: Privacy Preserving Geo-Linkage in the Big Urban Data Era. J Grid Computing (2016). doi: 10.1007/s10723-016-9372-0
  9. 9.
    Farkas, Z., Kacsuk, P., Hajnal, A.: Enabling Workflow-Oriented Science Gateways to Access Multi-Cloud Systems. J Grid Computing (2016). doi: 10.1007/s10723-016-9388-5
  10. 10.
    Arshad, J., Terstyanszky, G., Kiss, T., Weingarten, N., Taffoni, G.: A Formal Approach to Support Interoperability in Scientific Meta-workflows. J Grid Computing (2016). doi: 10.1007/s10723-016-9383-x
  11. 11.
    Sánchez-Expósito, S., Martín, P., Ruiz, J.E., Verdes-Montenegro, L., Garrido, J., Sirvent, R., Ruiz Falcó, A., Badia, R.M., Lezzi, D.: Web Services as Building Blocks for Science Gateways in Astrophysics. J Grid Computing (2016). doi: 10.1007/s10723-016-9382-y
  12. 12.
    Karoczkai, K., Kertesz, A., Kacsuk, P.: A Meta-Brokering Framework for Science Gateways. J Grid Computing (2016). doi: 10.1007/s10723-016-9378-7
  13. 13.
    Kacsuk, P., Kecskemeti, G., Kertesz, A., Nemeth, Z., Kovács, J., Farkas, Z.: Infrastructure Aware Scientific Workflows and Infrastructure AwareWorkflow Managers in Science Gateways. J Grid Computing (2016). doi: 10.1007/s10723-016-9380-0

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  • Sandra Gesing
    • 1
  • Nancy Wilkins-Diehr
    • 2
  • Michelle Barker
    • 3
  • Gabriele Pierantoni
    • 4
  1. 1.University of Notre DameNotre DameUSA
  2. 2.San Diego Supercomputer CenterUniversity of CaliforniaSan DiegoUSA
  3. 3.National eResearch Collaboration Tools and ResourcesCanberraAustralia
  4. 4.University of WestminsterMaryleboneUK

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