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From "Timothy Potter (JIRA)" <>
Subject [jira] Updated: (MAHOUT-588) Benchmark Mahout's clustering performance on EC2 and publish the results
Date Fri, 25 Feb 2011 22:57:21 GMT


Timothy Potter updated MAHOUT-588:

    Attachment: ec2_setup_notes_v2.txt

Thanks for the feedback Isabel.

The only caveat I see is that the current EC2 documentation is primarily based around creating
your own Hadoop AMI, whereas my instructions are based on using an existing Hadoop 0.20.2
AMI from bixolabs (S3 bucket: 453820947548/bixolabs-public-amis). Moreover, I think our process
is much easier, but the process that is currently on the wiki is still valid.

My updated notes are attached along with the setup script I used to create the SequenceFiles.
I'm thinking I should just create a separate section on the EC2 page with our process...

> Benchmark Mahout's clustering performance on EC2 and publish the results
> ------------------------------------------------------------------------
>                 Key: MAHOUT-588
>                 URL:
>             Project: Mahout
>          Issue Type: Task
>            Reporter: Grant Ingersoll
>         Attachments: 60_clusters_kmeans_10_iterations_100K_coordinates.txt,,,,,,,,,,,,,,, Top1000Tokens_maybe_stopWords,, clusters1.txt, clusters_kMeans.txt,
distcp_large_to_s3_failed.log, ec2_setup_notes.txt, ec2_setup_notes_v2.txt, ec2_setup_notes_v2.txt,
mahout-588_distribution.pdf,,, seq2sparse_small_failed.log,
> For Taming Text, I've commissioned some benchmarking work on Mahout's clustering algorithms.
 I've asked the two doing the project to do all the work in the open here.  The goal is to
use a publicly reusable dataset (for now, the ASF mail archives, assuming it is big enough)
and run on EC2 and make all resources available so others can reproduce/improve.
> I'd like to add the setup code to utils (although it could possibly be done as a Vectorizer)
and the publication of the results will be put up on the Wiki as well as in the book.  This
issue is to track the patches, etc.

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