Email Trust in MobiCloud using Hadoop Framework Updates

1. Email Trust in MobiCloud using Hadoop FrameworkUpdates Sayan Kole Jaya Chakladar Group No: 1

2. Overview • Installation of Hadoop • Single node • Distributed cluster • Understanding the existing email trust system and its suitability as a MapReduce application

3. Project Tasks (updated)

4. Software and Hardware Requirements • Hadoop • Java 6 • SSH • Database software e.g. MySQL or Apache HDFS • 4 virtual machines

5. MapReduce EMT Application Tier 1 is not suitable as Map Reduce application – onetime job Tier 2 Email Trust Unknown trust evaluation Propagate trust amongst a web of users. Directed graph

6. MapReduce EMT Application Find paths between s and d Use path weights as trust values Incorporate number of hops

7. Hadoop Single Cluster Installation Prerequisites Java 6 Add the canonical partner repository to the apt repository Update the source list Install JDK Select Sun’s Java as the default on the machine Add a dedicated Hadoop system user Configure SSH Configure SSH access for Hadoop system user Generate an SSH key for Hadoop user Enable SSH access to local mahine with the new key created Disable IPv6

8. Hadoop Single Cluster Installation Download Hadoop from Apache mirror sites and extract Set JAVA_HOME in /conf/hadoop-env.sh Configure core-site.xml Set path for hadoop.tmp.dir to local directory Set the HDFS variable Configure mapred-site.xml to set the host and port of mapReduce job tracker. Configure hdfs-site.xml to specify the number of replications for each file in the system.

9. Hadoop Single Cluster Installation Format the Hadoop HDFS name node – make sure data is backed up Start a single node cluster, this starts the name node, data node, job tracker & task tracker.

10. Hadoop Multiple Cluster Installation Setup two single node clusters Designate one as master and the other one as slave Shutdown clusters in both machines Update /etc/hosts on both machines with appropriate names (master and slave) and addresses SSH configuration between master and slave Hadoop user must connect to users master and slave Password less connection

11. Hadoop Multiple Cluster Installation • Master node runs master daemons like name node for HDFS and job tracker • Both nodes run slave daemons like data node for HDFS and task tracker

12. Hadoop Multiple Cluster Installation Master vs. Slave configuration On master /conf/master lists the master On slaves, /conf/slaves lists two entries master and slave Update core-site.xml on all machines to setup fs.default.name as hdfs://master:<Port number> Update mapred-site.xml on all sites to fix mapread.job.tracker as master:<port number> Change dfs.replication variable in hdfs-site.xml to the number of sites avaiable , 4 in our case. Format the name node

13. Hadoop Multiple Cluster Installation Start up the multi-node cluster Start HDFS daemons like name node and data node daemons in master and slaves respectively Start Map reduce daemons like job tracker on master and task tracker in slaves

14. Word Count Application – Single Node Hadoop

15. Word Count Output

16. Challenges faced so far Multi node setup errors Setup SSH without password requests Typically Hadoop is distributed across multiple IPs, here is MobiCloud it is being distributed in the same IP within multiple VMs Big assumption – Tier 2 Email Trust is a good MapReduce application

17. Project Time Line

18. Q & A