[Swift-user] running swift k on multiple instances on EC2, using coaster-service

[Iman Sadooghi]

Hi everyone

I am trying to run a Montage application workflow with swift on multiple
instances of AMAZON EC2.
So far I was able to set up a cluster, and a PVFS files system shared among
the nodes ( using FUSE. so I will have POSIX interface on my *swift work
directory*).
I have tried running a simple hello.swift example on multiple nodes with
the coaster. the working directory is the shared folder (supported by PVFS).
when I run the code using my own tc.data and sites.xml, this will happen:

(my command) ubuntu at ip-10-244-4-101:~/coaster$ swift -tc.file tc.data
-sites.file sites.xml  ~/swift-0.93/examples/swift/tutorial/hello.swift
(results:)
Swift 0.93 swift-r5483 cog-r3339

RunID: 20121023-2200-4d3knr72
Progress:  time: Tue, 23 Oct 2012 22:00:50 +0000
Find: http://10.244.4.101:1213
Find:  keepalive(120), reconnect - http://10.244.4.101:1213
Passive queue processor initialized. Callback URI is
http://10.244.4.101:1212
Progress:  time: Tue, 23 Oct 2012 22:01:20 +0000  Submitted:1
Progress:  time: Tue, 23 Oct 2012 22:01:50 +0000  Submitted:1
Progress:  time: Tue, 23 Oct 2012 22:02:20 +0000  Submitted:1
Progress:  time: Tue, 23 Oct 2012 22:02:50 +0000  Submitted:1
Progress:  time: Tue, 23 Oct 2012 22:03:20 +0000  Submitted:1
Progress:  time: Tue, 23 Oct 2012 22:03:50 +0000  Submitted:1
Progress:  time: Tue, 23 Oct 2012 22:04:20 +0000  Submitted:1

and it keeps doing this forever meaning that there is no answer from worker
nodes!
as I checked on worker nodes, the working files are created on the shared
folder, and when i check the running applications, there is a java
application running. but nothing happens.
I have also attached the log file of my hello.swift running in case you
need to take a look at it.
should I consider using pbs, or condor,... I have no idea about how they
work though.

I appreciate if anyone can help me with it. Thank you so much.

Best,
-- 
Iman Sadooghi
Illinois Institute of Technology (IIT)
Data-Intensive Distributed Systems Laboratory
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