Error : Putting files in the HDFS - hadoop

Question

I am facing an issue while trying to run a sample Hadoop source code on an ARM processor. Every time I am trying to put some files in the HDFS, I am getting the below error.
13/10/07 11:31:29 WARN hdfs.DFSClient: DataStreamer Exception: org.apache.hadoop.ipc.RemoteException: java.io.IOException: File /user/root/bin/cpu-kmeans2D could only be replicated to 0 nodes, instead of 1
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:1267)
at org.apache.hadoop.hdfs.server.namenode.NameNode.addBlock(NameNode.java:422)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:508)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:959)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:955)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:953)
at org.apache.hadoop.ipc.Client.call(Client.java:739)
at org.apache.hadoop.ipc.RPC$Invoker.invoke(RPC.java:220)
at com.sun.proxy.$Proxy0.addBlock(Unknown Source)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:82)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:59)
at com.sun.proxy.$Proxy0.addBlock(Unknown Source)
at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.locateFollowingBlock(DFSClient.java:2904)
at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.nextBlockOutputStream(DFSClient.java:2786)
at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.access$2000(DFSClient.java:2076)
at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream$DataStreamer.run(DFSClient.java:2262)
13/10/07 11:31:29 WARN hdfs.DFSClient: Error Recovery for block null bad datanode[0] nodes == null
13/10/07 11:31:29 WARN hdfs.DFSClient: Could not get block locations. Source file "/user/root/bin/cpu-kmeans2D" - Aborting...
put: java.io.IOException: File /user/root/bin/cpu-kmeans2D could only be replicated to 0 nodes, instead of 1
I tried replicating the namenode and datanode by deleting all the old logs on the master and the slave nodes as well as the folders under /app/hadoop/, after which I formatted the namenode and started the process again (bin/start-all.sh), but still no luck with the same.
I tried generating the admin report(pasted below) after doing the restart, it seems the data node is not getting started.
-------------------------------------------------
Datanodes available: 0 (0 total, 0 dead)
root#tegra-ubuntu:~/hadoop-gpu-master/hadoop-gpu-0.20.1# bin/hadoop dfsadmin -report
Configured Capacity: 0 (0 KB)
Present Capacity: 0 (0 KB)
DFS Remaining: 0 (0 KB)
DFS Used: 0 (0 KB)
DFS Used%: �%
Under replicated blocks: 0
Blocks with corrupt replicas: 0
Missing blocks: 0
-------------------------------------------------
Datanodes available: 0 (0 total, 0 dead)
I have tried all possible ways to debug this. I have tried the following methods :
1) I logged in to the HADOOP home directory and removed all the old logs (rm -rf logs/*)
2) Next I deleted the contents of the directory on all my slave and master nodes (rm -rf /app/hadoop/*)
3) I formatted the namenode (bin/hadoop namenode -format)
4) I started all the processes - first the namenode, datanode and then the map - reduce. I typed jps on the terminal to ensure that all the processes (Namenode, Datanode, JobTracker, Task Tracker) are up and running.
5) Now doing this, I recreated the directories in the dfs.