SC11: Using and Building Infrastructure Clouds for Science

Project Details

Project Lead
John Bresnahan 
Project Manager
David LaBissoniere 
Project Members
John Bresnahan, Benjamin Shayne, Michael Galloway, Jorge Gonzalez-Outeirino, Lee Dreger, Kurt Lust, Thomas Ludescher, Susan Schwarz, Paul Mignone, Kevin Fitzhenry, Barrett Ross, Senthil Natarajan, Hiroji Kubo, Dong Ahn, Von Welch, ludovic sauge, Michael Wang, Alessandra Scicchitano, Arno Kolster, David Clifton, Robert McDermott, mike upton, Ian Collier, Richard Pacheco, Daniel Strassler, Norbert Conrad, Theron Voran, Robert Lyon, Hung Huang, Jonathan Bolte, Jerome Kinlaw, Daniel Cybulski, fabien delalondre, Erik Swanson, Anthony Lichnewsky, Daniel Johannsson, Steffen Hau, Sean Korb, Sangeeta Kuchimanchi, Aron Ahmadia, Jon Grasmeder, Viet Hai Ha, John England, Michael Lewis, Alan Sill, Jeff Shao, Sarom Leang, Ben Rogers, Muhammad Yanhaona, Stefan garrard, Jaegyoon Hahm, James Silva, Kent Blancett, Patrick Doyle, Bob Clay, William Fecteau, Mark Brice, Guy Tel-Zur, Steve Bailey, sean roberts, Maurice Watkins, Ernest Lee, Jared Ribble, Stanislav Alekseev, Elizabeth Ploetz, K Watkins, Claude Cantin, Jason Arviso, Nevin Cheung, Al Kelly, Gordon springer, Thomas Jackman, Moody Altamimi, Andre Gauthier, Sky Paxton, Chris Adolf, ZHENG CUI, Abdullah Alyabes, David Smith, Patty Bragger, Michael Aronsen  
Nimbus, Argonne National Lab  
Computer Science (401) 


  • When: 11/13/2011, 8:30am - 5pm
  • Where: SC11 tutorial
Infrastructure-as-a-service (IaaS) cloud computing (sometimes also called “infrastructure cloud computing”) has recently emerged as a promising outsourcing paradigm: it has been widely embraced commercially and is also beginning to make inroads in scientific communities. Although popular, the understanding of its benefits, challenges, modes of use, and general applicability as an outsourcing paradigm for science are still in its infancy, which gives raise to many myths and misconceptions. Without specific and accurate information it is hard for the scientific communities to understand whether this new paradigm is worthwhile – and if so, how to best develop, leverage, and invest in it. Our objective in this tutorial is to facilitate the introduction to infrastructure cloud computing to scientific communities and provide accurate and up-to-date information about features that could affect its use in science: to conquer myths, highlight opportunities, and equip the attendees with a better understanding of the relevance of cloud computing to their scientific domain. To this end, we have developed a tutorial that mixes the discussion of various aspects of cloud computing for science, such as performance, privacy and standards, with practical exercises using infrastructure clouds and state-of-the-art tools.


  • Katarzyna Keahey - Argonne National Laboratory
  • John Bresnahan - Argonne National Laboratory
  • David LaBissoniere - University of Chicago
  • Paul Marshall - University of Colorado
  • Patrick Armstrong - University of Victoria

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