Course: B649 Topics on Systems Graduate Cloud Computing Class

Project Information

Discipline

Computer Science (401) 

Orientation

Education 

A topics course on cloud computing with 27 graduate students at Masters and PhD level offered Fall 2010 as part of Computer Science curriculum

Objectives This course will offer programming models and tools of cloud computing to support data intensive science applications. Students will get to know the latest research topics of cloud platforms and have the opportunity to understand some commercial cloud systems through projects using FutureGrid resources. Scope and topcis Several new computing paradigms are emerging from large commercial clouds. These include virtual machine based utility computing environments such as Amazon AWS and Microsoft Azure. Further there are also a set of new MapReduce programming paradigms coming from Information retrieval field which have been shown to be effective for scientific data analysis. These developments have been highlighted by a recent NSF CISE-OCI announcement of opportunities in this area. This class covers many of the key concepts with a common set of simple examples. It is designed to prepare participants to understand and compare capabilities of these new technologies and infrastructure and to have a basic idea as to how to get started. Particularly, the Big Data Workshop Website covers the background and topics of interest as below. Projects include Bioinformatics and Information retrieval

This material will generate curricula material that will be used to build up an online distributed systems/cloud resource

Project Contact

Project Lead

Judy Qiu (xqiu) 

Project Manager

Judy Qiu (xqiu) 

Project Members

Pradnya Kakodkar  

Resource Requirements

Hardware System

• I don't care (what I really need is a software environment and I don't care where it runs)

 

Support class student projects

Modest resources for each student

Project Timeline

Submitted

08/01/2010 - 12:00 

Completed

12/31/2010