Difference between revisions of "CSC352 Class Page 2010"

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(Cloud Computing)
(Cloud Computing)
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===Software/Web Links===
 
===Software/Web Links===
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[[Image:HadoopCartoon.jpg | 100px | right]]
 
*[http://www.hadoopbook.com/ The HadoopBook] Web site.
 
*[http://www.hadoopbook.com/ The HadoopBook] Web site.
 
*[http://wiki.apache.org/hadoop/FrontPage The Hadoop Wiki], the authoritative source on working with Hadoop
 
*[http://wiki.apache.org/hadoop/FrontPage The Hadoop Wiki], the authoritative source on working with Hadoop

Revision as of 18:39, 5 December 2009

Python Threads

XGrid Programming

Cloud Computing

Resources: References & Bibliography

Parallel Processing/Good background information

Python

XGrid

  • What's an XGrid system?
    • A Video presentation of the XGrid (click on movie reel icon to start).
    • A very good overview of the XGrid from macdevcenter.com

Cloud Computing

Literature

Class Material on the Web

The University of Washington ran an upper-division course on Distributed Computing with MapReduce in Spring 2007. Below you'll find the materials that were used for the class: five lectures in powerpoint format, as well as four lab exercises designed which were completed by students over the duration of the course, using a cluster running Hadoop.

Software/Web Links

HadoopCartoon.jpg
Setting up a Hadoop cluster can be an all day job. However, if you want to experiment with the platform right now, [Google] has created a virtual machine image with a preconfigured single node instance of Hadoop
The IBM MapReduce Tools for Eclipse Plug-in is a robust plug-in that brings Hadoop support to the Eclipse platform. Features include server configuration, support for launching MapReduce jobs and browsing the distributed file system. This setup assumes that you are running Eclipse (version 3.3 or above) on your computer.
A video from Cloudera on setting up Hadoop... not easy to follow...

Videos

  • A video of Tom White, author of O'Reilly's Hadoop guide, on BlipTV. White outlines the suite of projects centered around Hadoop ( an open source Map / Reduce project)