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    * We use Pig and custom Java map-reduce code, as well as chukwa.
    * We have 94 nodes (752 cores) in our clusters, as of July 2010, but the 
number grows regularly.
  
+  * [[http://glud.udistrital.edu.co|Universidad Distrital Francisco Jose de 
Caldas (Grupo GICOGE/Grupo Linux UD GLUD/Grupo GIGA]]
+   5 node low-profile cluster. We use Hadoop to support the research project: 
Territorial Intelligence System of Bogota City.
+ 
   * [[http://ir.dcs.gla.ac.uk/terrier/|University of Glasgow - Terrier Team]]
    * 30 nodes cluster (Xeon Quad Core 2.4GHz, 4GB RAM, 1TB/node storage).
    We use Hadoop to facilitate information retrieval research & 
experimentation, particularly for TREC, using the Terrier IR platform. The open 
source release of [[http://ir.dcs.gla.ac.uk/terrier/|Terrier]] includes 
large-scale distributed indexing using Hadoop Map Reduce.
- 
-  * [[http://glud.udistrital.edu.co|Universidad Distrital Francisco Jose de 
Caldas - Grupo GIGA - Grupo Linux UD GLUD]]
-   5 node low-profile cluster. We use Hadoop to support the research project: 
Territorial Intelligence System of Bogota City.
  
   * 
[[http://www.umiacs.umd.edu/~jimmylin/cloud-computing/index.html|University of 
Maryland]]
    . We are one of six universities participating in IBM/Google's academic 
cloud computing initiative. Ongoing research and teaching efforts include 
projects in machine translation, language modeling, bioinformatics, email 
analysis, and image processing.

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