Youngil Kim Awalin Sopan Sonia Ng Zeng

 Introduction  Concept of the Project  System architecture  Implementation – HDFS  Implementation – System Analysis ◦ System Information Logger (SIL) ◦ System Information Gatherer (SIG) ◦ Map/Reduce  Implementation – Visualization  Implementation – P2P Application  Demo

 How can we know system information from many nodes? ◦ It is hard to track which node has a problem when too many nodes exist  But… HDFS and Map/Reduce make it easy! ◦ Gather system information of each node to HDFS ◦ Analyze system information using Map/Reduce ◦ A kind of network managing system like HP’s Open View

 Tool to have an overview of the nodes in the P2P ◦ Still preserving the de-centralized nature of P2P ◦ Can be run on any computer – from within the P2P or outside of it. So, the computer running the tool is not necessarily the “master” ◦ If the tool is not running, the P2P still remains intact  Still, one can control the P2P from the tool  The tool will provide an interface to do both: overview and control ◦ Therefore, the user does not need to be an expert to work with a network system

p2p Local P2P app. p2p Local P2P app. p2p Local P2P app. p2p Local P2P app. P2P Network

System Info Gatherer (Hadoop Master) System Info Gatherer (Hadoop Master) Hadoop Slave Node Hadoop Slave HDFS p2p Local P2P app. p2p Local P2P app. p2p Local P2P app. p2p Local P2P app. Sys Info Logger P2P Network

System Info Gatherer (Hadoop Master) System Info Gatherer (Hadoop Master) Hadoop Slave Node Hadoop Slave HDFS System Manager (Visualization) System Manager (Visualization) p2p Local P2P app. p2p Local P2P app. p2p Local P2P app. p2p Local P2P app. Sys Info Logger System Control Network P2P Network System Information

 Implemented minimal P2P to show how our tool works ◦ How to control application or system on each node using visualization ◦ Has STOP/RESUME operations  Functions ◦ Response to “QUERY”  Show active/inactive (overview) ◦ Response to “CONTROL”  Change node status based on control argument (active/inactive)

 Hadoop for DFS & Map/Reduce Framework ◦ We use bug cluster ◦ Master: brood00 ◦ Slaves: Currently tested with 5 nodes (bug51 ~ bug55) ◦ Using each local storage  Using “/tmp” directory because home directory is not a local storage but NFS volume. ◦ Network Ports:  hdfs(9000), job tracker(9001),  Namenode Interface (50070), JobTracker Interface (50030)

 mr_syslog.py ◦ Implemented in Python ◦ Saves information in both local storage and HDFS ◦ Gathers information every 10 secs ◦ Creates logfile based on time  Information of each node is saved with the following format ◦ ◦ bug : mem(75.50), cpu(1.00), disk(10.00) ◦ bug : mem(75.50), cpu(1.50), disk(10.00) ◦ bug : mem(75.51), cpu(0.40), disk(10.00) ◦ bug : mem(75.51), cpu(0.50), disk(10.00) ◦ bug : mem(75.50), cpu(0.50), disk(10.00) ◦ bug : mem(75.50), cpu(0.40), disk(10.00)

 Functions ◦ Find current resource usage of each node at current time using Map/Reduce  Currently, it shows maximum values per minute time slot ◦ Communication Gateway between nodes and visualization tool  Send “QUERY” to each P2P application to check on the status of each node  Send node status to visualization tool  Node ID  Status (in/active)  CPU Usage  Memory Usage  Disk Storage

 Map: ◦ Input – each node log file  Key: position of file  Value: raw data, one line per key ◦ Output  Key: node ID  Value: set of system information (CPU/memory/storage usage)  Eg:

 Reduce: ◦ Input – from Map  Key: node ID  Value: set of set of system information  Eg: ◦ Output  Key: Node ID  Value: Maximum values for each piece of information  Eg:

 Written in Java  Used Prefuse toolkit for a tabular visualization for the node status  Only need to use the right-click menu to control the node  Live communication with the nodes ◦ To query the node status from the SIG ◦ To send commands to the nodes in the P2P network in real-time

 Initial view of all nodes  After stopping Bug53

 System set-up and initialization (video file)  Show namenode & jobtracker interface  Show Map/Reduce jobs  Show Visualization tool ◦ Changes of each status ◦ Control each P2P application