Hadoop is a platform for distributed computations based on Google's Map Reduce (paper)

    The goal of this project is to become familiar with a popular model for programming distributed systems.

    You will do this project in teams of two

    We assigned 6 clusters(1G mem) for a team.

    You need to install hadoop and run a simple mapreduce example.

    Turn in the documentation including installation path in your machine, how to execute, and feedback about using hadoop via e-mail.

    TA: Seoyeon Kang (sykang golbaengi an.kaist.ac.kr)

    Due: September 18th at 18:00

• Hadoop's home page
• Hadoop's Wiki
• Hadoop API/Code documentation

     All steps are in the Hadoop's home page

• Learn about Hadoop and by reading the documentation.
• Download Hadoop from the release page.
• Hadoop Quickstart.
• Hadoop Cluster Setup.; You need to set up for fully-distributed operation.

• Learn about MapReduce and HDFS(Hadoop Distributed File System)
• Run example-wordcount 2.0 in fully-distributed mode