Difference between revisions of "CSC352 Class Page 2010"

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(Class Material)
(Class Material)
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* Armbrust M, ''et al'', [http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-28.pdf Above the Clouds: A Berkeley View of Cloud Computing], Tech Rep. CB/EECS-2009-28, Feb. 2009 ([[media:AboveTheCloudsBerkeley.pdf|cached copy]])
 
* Armbrust M, ''et al'', [http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-28.pdf Above the Clouds: A Berkeley View of Cloud Computing], Tech Rep. CB/EECS-2009-28, Feb. 2009 ([[media:AboveTheCloudsBerkeley.pdf|cached copy]])
 
===Class Material===
 
===Class Material===
* [ http://code.google.com/edu/submissions/uwspr2007_clustercourse/listing.html University of Washington: Problem Solving on Large Scale Clusters]:
+
* [http://code.google.com/edu/submissions/uwspr2007_clustercourse/listing.html University of Washington: Problem Solving on Large Scale Clusters]:
 
: 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.
 
: 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.
  

Revision as of 21:18, 2 December 2009

Python Threads

XGrid Programming

Cloud Computing

References & Bibliography

Parallel Processing/Good background information

Python

XGrid

Cloud Computing

Literature

Class Material

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

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