Course: SC12 Tutorial

Project Details

Project Lead
John Bresnahan 
Project Manager
John Bresnahan 
Project Members
Jody Steadman, Dmitry Duplyakin, Ali Alzabarah, Courtney Powell, Dermot Frost, Stephan Kindermann, Qiyang Hu, Kevin Brandstatter, Andrew Mather, Cynthia Crooks, Yongzhi Chen, Thomas Hoeffel, Jason Boles, Steven Clark, Brian Haymore, Toshiyuki Maeda, Kelvin Anderson, steven fellini, Al Wegener, Susan Chacko, Stephen Scherr, Tim Brewer, Stefan garrard, Charlene Osborn, Steve Bailey, Victor Anaya, Jaroslaw Slawinski, Shankhadeep Shome, Mohamed Abdel-Aal, Theron Voran, Stephen Herbein, Keith Chadwick, Qi Hu, sam schlachter, Jens Timmerman, James Nauer, Len Zaifman  
Institution
Nimbus, Argonne National Lab  
Discipline
Computer Science (401) 

Abstract

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 Impacts

Increse our user base

Scale of Use

~100 attendees