Hi Madhu,
First of all, thanks for the quick reply.
I've searched the net about the properties of the configuration files and I
specifically wanted to know if there is 
a property that is related to memory tuning (as you can see I have 7.5 RAM
on each datanode and I really want to use it properly).
Also, I've changed the mapred.tasktracker.reduce/map.tasks.maximum to 10
(number of cores on the datanodes) and unfortunately I haven't seen any
change on the performance or time duration of running jobs.

Avi

-----Original Message-----
From: madhu phatak [mailto:[email protected]] 
Sent: Tuesday, June 21, 2011 12:33 PM
To: [email protected]
Subject: Re: Help with adjusting Hadoop configuration files

The utilization of cluster depends upon the no of jobs and no of mappers and
reducers.The configuration files only help u set up the cluster by
specifying info .u can also specify some of details like block size and
replication in configuration files  which may help you in job management.You
can read all the available configuration properties here
http://hadoop.apache.org/common/docs/current/cluster_setup.html

On Tue, Jun 21, 2011 at 2:13 PM, Avi Vaknin <[email protected]> wrote:

> Hi Everyone,
> We are a start-up company has been using the Hadoop Cluster platform
> (version 0.20.2) on Amazon EC2 environment.
> We tried to setup a cluster using two different forms:
> Cluster 1: includes 1 master (namenode) + 5 datanodes - all of the
machines
> are small EC2 instances (1.6 GB RAM)
> Cluster 2: includes 1 master (namenode) + 2 datanodes - the master is a
> small EC2 instance and the other two datanodes are large EC2 instances
(7.5
> GB RAM)
> We tried to make changes on the the configuration files (core-sit,
> hdfs-site
> and mapred-sit xml files) and we expected to see a significant improvement
> on the performance of the cluster 2,
> unfortunately this has yet to happen.
>
> Are there any special parameters on the configuration files that we need
to
> change in order to adjust the Hadoop to a large hardware environment ?
> Are there any best practice you recommend?
>
> Thanks in advance.
>
> Avi
>
>
>
>

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