Science Cloud Summer School 2012

The Science Cloud Summer School targets education and training of graduate students and the fostering of a community around a topic that has increasing interest and relevance: the use of cloud computing technologies in science - including infrastructure-as-a-service and platform-as-a-service. Because cloud computing systems and technologies provide a considerable departure from traditional models and evolve at a rapid pace, this event would provide a basis for students to immerse in a focused, intensive curriculum to learn fundamentals and experiment with these technologies in practice. We will cover topics of interest to students with both application and computer science focus.

For more information about Science Cloud Summer School 2012, please visit:
Science Cloud Summer School 2012 Tumblr Site
Science Cloud Summer School Project Page

Introduction to Clouds and the VSCSE Summer School on Science Clouds

Monday July 30, 2012
Geoffrey Fox
Informatics, Computing, and Physics
Pervasive Technology Institute
Indiana University, Bloomington

Application: Biology in the Clouds

Monday July 30, 2012
Michael Schatz
Cold Spring Harbor

FutureGrid Overview for VSCSE Summer School on Science Clouds

Monday July 30, 2012
Geoffrey Fox
Informatics, Computing, and Physics
Pervasive Technology Institute
Indiana University, Bloomington

Introduction to Virtual High Performance Computing Clusters

Monday July 30, 2012
Thomas J. Hacker
Purdue University

Nimbus: Infrastructure Cloud Computing for Science

Monday July 30, 2012
Kate Keahey
Argonne National Laboratory
Computation Institute, University of Chicago

Nimbus Infrastructure: Hands-on Using Infrastructure Clouds & Nimbus Platform: Managing Deployments in Multi-Cloud Environments

Monday July 30, 2012
John Bresnahan, Mike Wilde, Kate Keahey
University of Chicago/Argonne National Laboratory

[tutorial] [Euca PDF] [Boto PDF]

[Cloudinitd and Phantom PPTX] [Swift PPTX]

Running MapReduce in Non-Traditional Environments

Tuesday July 31, 2012
Abhishek Chandra
University of Minnesota

Virtual Clusters Supporting MapReduce in the Cloud

Tuesday July 31, 2012
Jonathan Klinginsmith
School of Informatics and Computing
Indiana University, Bloomington

Reproducible Environment for Scientific Applications: Sandbox Twister WordCount (Lab)

Tuesday July 31, 2012
Stephen Wu
Indiana University, Bloomington

[Reproducible Environment] [Prerequisites & Resources] [PPTX]

Good Ole Hadoop: How We Love Thee

Tuesday July 31, 2012
Jerome E. Mitchell
Indiana University

The FutureGrid project is funded by the National Science Foundation (NSF) and is led by Indiana University with University of Chicago, University of Florida, San Diego Supercomputing Center, Texas Advanced Computing Center, University of Virginia, University of Tennessee, University of Southern California, Dresden, Purdue University, and Grid 5000 as partner sites. This material is based upon work supported in part by the National Science Foundation under Grant No. 0910812.

Futuregrid is a resource provider for XSEDE.