diff --git a/2.6.0/Dockerfile b/2.6.0/Dockerfile
index 85fff43..d356231 100644
--- a/2.6.0/Dockerfile
+++ b/2.6.0/Dockerfile
@@ -70,6 +70,7 @@ ADD hdfs-site.xml $HADOOP_CONF_DIR/hdfs-site.xml
 #	50475 = dfs.datanode.https.address	(HTTPS / Secure UI)
 # HDFS: Secondary NameNode (SNN)
 #	50090 = dfs.secondary.http.address	(HTTP / Checkpoint for NameNode metadata)
-EXPOSE 9000 50070 50010 50020 50075 50090
+#       50030                                   (HTTP for Job Tracker web UI)
+EXPOSE 9000 50070 50010 50020 50075 50090 50030 9001
 
 CMD ["hdfs"]
diff --git a/README.md b/README.md
index aab9f9c..0a5b2f1 100644
--- a/README.md
+++ b/README.md
@@ -93,5 +93,63 @@ Each component provide its own web UI. Open you browser at one of the URLs below
 | HDFS NameNode           | [http://dockerhost:50070](http://dockerhost:50070) |
 | HDFS DataNode           | [http://dockerhost:50075](http://dockerhost:50075) |
 | HDFS Secondary NameNode | [http://dockerhost:50090](http://dockerhost:50090) |
+##Running MapReduce example
 
+The General workflow for MapRecuce is:'Input—>Map—>Reduce->Output'.
 
+Below are steps to implement the workflow.
+
+###1) Configuration
+
+Ammend the following configuration to mapred-site.xml: 
+
+Set the property mapred.job.tracker to hdfs-namenode:9001.  
+Remove the property mapreduce.framework.name  
+
+
+###2) Input Data
+
+###2.1) create directory for the input file in HDFS
+ 
+hadoop fs -mkdir /WordCount  
+hadoop fs -mkdir /WordCount/Input  
+
+###2.2) Prepare the input file
+
+mkdir ~/hdp-ex/  
+cd ~/hdp-ex/  
+ 
+touch in.txt  
+
+In this example we are using the following words:  
+
+hello world hello docker hello hadoop hello mapreduce h  
+
+###2.3)  copy the input file to HDFS for processing by map reduce
+
+hadoop fs -copyFromLocal ~/hdp-ex/in.txt hdfs://hdfs-namenode:9000/WordCount/Input
+
+###3) run the mapreduce, word count
+
+hadoop jar /usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0.jar wordcount /WordCount/Input/in.txt /WordCount/Output/
+
+###4) output: check the output
+
+hadoop fs -ls /WordCount/Output/  
+
+Found 2 items  
+-rw-r--r--   2 root supergroup          0 2015-09-27 21:00 /WordCount/Output/_SUCCESS  
+-rw-r--r--   2 root supergroup         50 2015-09-27 21:00 /WordCount/Output/part-r-00000    
+
+Read the output file:
+
+hadoop fs  -cat /WordCount/Output/part-r-00000  
+
+------------  
+docker	1  
+h	1  
+hadoop	1  
+hello	4  
+mapreduce	1  
+world	1 
+