Course: SC12 Tutorial


Infrastructure-as-a-service 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, understanding how science can leverage it is still in its infancy. Specific and accurate information is needed for scientific communities to understand whether this new paradigm is worthwhile and how to use it. Our objective is to introduce infrastructure cloud computing and elastic tools to scientific communities. We will provide up-to-date information about features and services that benefit science and explain patterns of use that can best fit scientific applications. We will highlight opportunities, conquer myths, and equip the attendees with a better understanding of the relevance of cloud computing to their scientific domain. Our tutorial mixes the discussion of various aspects of cloud computing for science, such as performance, elasticity, privacy, with practical exercises using clouds and state-of-the- art tools.

Intellectual Merit

To teach the community how to use FutureGrid clouds

Broader Impact

Increse our user base

Use of FutureGrid

Nimbus Clouds

Scale Of Use

~100 attendees


John Bresnahan

Project Members

Al Wegener
Ali Alzabarah
Andrew Mather
Brian Haymore
Charlene Osborn
Courtney Powell
Cynthia Crooks
Dermot Frost
Dmitry Duplyakin
James Nauer
Jaroslaw Slawinski
Jason Boles
Jens Timmerman
Jody Steadman
Keith Chadwick
Kelvin Anderson
Kevin Brandstatter
Len Zaifman
Mohamed Abdel-Aal
Qi Hu
Qiyang Hu
sam schlachter
Shankhadeep Shome
Stefan garrard
Stephan Kindermann
Stephen Herbein
Stephen Scherr
Steve Bailey
Steven Clark
steven fellini
Susan Chacko
Theron Voran
Thomas Hoeffel
Tim Brewer
Toshiyuki Maeda
Victor Anaya
Yongzhi Chen


1 year 23 weeks ago
1 year 13 weeks ago