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[Condor-users] Call for Participation: Tutorial -- Using and Building Infrastructure Clouds for Science at Supercomputing/SC 2011



CALL FOR PARTICIPATION
The International Conference for High Performance Computing, Networking, Storage and Analysis (Supercomputing/SC) 2011

Tutorial: Using and Building Infrastructure Clouds for Science
http://sc11.supercomputing.org/schedule/event_detail.php?evid=tut159

DATE: Sunday, November 13th, 2011

TIME: 8:30AM - 5:00PM

ROOM:TCC 303

ABSTRACT:
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.

Chair/Presenter Details:

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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Ioan Raicu, Ph.D.
Assistant Professor, Illinois Institute of Technology (IIT)
Guest Research Faculty, Argonne National Laboratory (ANL)
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Data-Intensive Distributed Systems Laboratory, CS/IIT
Distributed Systems Laboratory, MCS/ANL
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Cel:    1-847-722-0876
Office: 1-312-567-5704
Email:  iraicu@xxxxxxxxxx
Web:    http://www.cs.iit.edu/~iraicu/
Web:    http://datasys.cs.iit.edu/
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