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

Ioan Raicu iraicu at cs.iit.edu
Tue Nov 8 16:39:25 CST 2011

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

Tutorial: Using and Building Infrastructure Clouds for Science

DATE: Sunday, November 13th, 2011

TIME: 8:30AM - 5:00PM


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

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

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