Changes between Version 28 and Version 29 of LAMP/Tutorial


Ignore:
Timestamp:
09/22/10 02:47:43 (9 years ago)
Author:
fernande@cis.udel.edu
Comment:

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  • LAMP/Tutorial

    v28 v29  
    432432[[Image(bwctl-scatter.png)]]
    433433
    434 That looks nice. Seems like ProtoGENI allocated a 100Mb link for our slice. Let's confirm this:
     434That looks good. Seems like ProtoGENI allocated a 100Mb link for our slice. Let's confirm this:
    435435
    436436{{{
     
    445445        Speed: 100Mb/s
    446446...
    447 }}
     447}}}
    448448
    449449Yes, seems like we're measuring our link throughput pretty accurately. Let's move on to the one-way latency data.
     
    496496[[Image(snmpma.png)]]
    497497
    498 We have been greeted with a large, red "proceed at your own risk" warning :). The corresponding interface on the pS-Performance Toolkit only queried the network utilization (bytes/sec) eventType on the SNMP MA. We are extending this interface to query all of the host monitoring metrics collected by Ganglia. This is still an early prototype, but should be functional (we are keen on receiving bug reports!). Let's pick a random metric, say amount of processes running on the CPU, and open its Flash Graph. Note that you can read a description for the eventType by rest the mouse on top of it.
    499 
    500 
    501 The perfAdmin visualization tool above allowed us to verify that our data is indeed being exported by the SNMP MA using the perfSONAR schema and API. However, the Ganglia Web visualization tool shows all the hosts monitoring metrics collected with a comprehensive and robust interface. Thus, for host monitoring in specific, we suggest this tool for visualizing the instrumentation on the slice. We can access the Ganglia Web through the URL https://<collector node>/ganglia/.
     498We have been greeted with a large, red "proceed at your own risk" warning :). The corresponding interface on the pS-Performance Toolkit only queried the network utilization (bytes/sec) eventType on the SNMP MA. We are extending this interface to query all of the host monitoring metrics collected by Ganglia. This is still an early prototype, but should be functional (we are keen on receiving bug reports!). Let's pick a node (''lamp'') and a random metric, say the percentage of CPU utilization while running at user level (http://ggf.org/ns/nmwg/characteristic/cpu/utilization/user/2.0), and open its Flash Graph. ''Note that you can read a description for the eventType by rest the mouse on top of it.''
     499
     500[[Image(cpu-utilization.png)]]
     501
     502(Note that this graph shows how much load the LAMP Portal and Visualization tools can incur on the node. This is why we recommend using a dedicated node for these services; the LAMP Portal and the host monitoring collector.)
     503
     504Great! We're able to access the data collected by Ganglia through the SNMP MA using the perfSONAR schema and API. (Feel free to try other metrics!) However, the Ganglia Web visualization tool shows all the hosts monitoring metrics collected with a comprehensive and robust interface. Thus, for host monitoring in specific, we suggest this tool for visualizing the instrumentation on the slice. We can access the Ganglia Web through the URL https://<collector node>/ganglia/.
    502505
    503506[[Image(ganglia-web.png)]]
     
    507510[[Image(ganglia-node2.png)]]
    508511
    509 We can see clear periodic spikes on CPU load and network traffic. These spikes most likely correspond to our scheduled Throughput tests. Note that the network traffic graph shows only 5MB/s, even though we were getting 90Mb/s
     512We can see clear periodic spikes on CPU load and network traffic. These spikes most likely correspond to our scheduled Throughput tests. Note that the network traffic graph shows only 5MB/s, even though we were getting 90Mb/s on the BWCTL tests. The reason for this is that our tests last only for 20 seconds, and these metrics are 5 minutes averages of the network traffic.
     513
     514
     515''' And that concludes our Quick Start tutorial! Thank you for spending the time to go through this tutorial. We hope it will be useful for you future experiments! '''
     516
     517Please send any questions and feedback to lamp@damsl.cis.udel.edu.