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Quick OpenStacked Hadoop - qosh

An easy way to use your hardware to compute MapReduce applications. qosh is the result of my CS degree thesis.

  • Full thesis in Spanish, paper and book in English featuring qosh.
  • Keynote presentation slides in English.
  • Click the image just below to watch it in action on Youtube.

Click to watch on Youtube.

FOREWORD

This piece of software is intented to sample a real world application. It is by no means suitable for production deployments.

SYSTEM REQUERIMENTS

  • x86_64 architecture and fresh Fedora 17 installation.
  • 10GB free HDD space and lots of RAM (4GB+)
  • 1h+ of your time...

QUICK INSTALL

Install Fedora 17.

sudo yum install -y git
sudo yum update -y

sudo reboot

cd <destination_folder_parent>

git clone https://github.com/marcos-sb/quick-openstacked-hadoop.git
(quick-openstacked-hadoop folder will be created for you)

cd quick-openstacked-hadoop

sudo ./install.py
(It will install OpenStack Folsom, a Hadoop virtual machine, Fabric and Django)

./configure.py
(To set up Django settings)

QUICK RUN

cd quick-openstacked-hadoop/Alba/albaproject

python manage.py runserver

navigate to http://localhost:8000/albaproject/mapred

user: "udc"
password: "udc"

HORIZON

OpenStack native administration web interface is accessible at http://localhost/dashboard

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A Private Cloud implementation for MapReduce applications # code

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