R help - Mar 2011 - R hangs when connected via VPN [incl. minimal example]

Dear expeRts,

This is a similar post as on R-SIG-MAC [I didn't receive an answer there;
not sure if it was the right place to post either].

I'm running R version 2.12.1 (Platform: x86_64-apple-darwin9.8.0/x86_64
(64-bit))
on a MacBook Pro under Mac OS X 10.6.6. The following minimal example runs fine
under this setup. However, if I am connected to a server via a VPN client 
[Cisco AnyConnect; same with Apple's internal VPN connection], then the
minimal
example hangs and just does not do anything. The "red button" in the R
Console
is dark red [normal behavior if R is running], so R tries to do something, but 
cannot succeed. CPU goes up to 100%... Same happens if I start the job from the 
command line via R CMD BATCH. What's going on? Is this a known issue? 

Cheers,

Marius

library(doSNOW) 
library(Rmpi) 
library(rlecuyer) 
library(foreach)

cl <- makeCluster(mpi.universe.size(), type ="MPI") 
tmp <- clusterSetupRNG(cl, seed=rep(1,6)) 
registerDoSNOW(cl)

counter <- 0
res <- foreach(k = 1:1000) %do% {
    counter <- counter + 1
}
tmp <- stopCluster(cl)

unlist(res)

On 11-03-13 4:34 AM, Marius Hofert wrote:
> Dear expeRts,
>
> This is a similar post as on R-SIG-MAC [I didn't receive an answer
there; not sure if it was the right place to post either].
>
> I'm running R version 2.12.1 (Platform: x86_64-apple-darwin9.8.0/x86_64
(64-bit))
> on a MacBook Pro under Mac OS X 10.6.6. The following minimal example runs
fine
> under this setup. However, if I am connected to a server via a VPN client
> [Cisco AnyConnect; same with Apple's internal VPN connection], then the
minimal
> example hangs and just does not do anything. The "red button" in
the R Console
> is dark red [normal behavior if R is running], so R tries to do something,
but
> cannot succeed. CPU goes up to 100%... Same happens if I start the job from
the
> command line via R CMD BATCH. What's going on? Is this a known issue?
>
> Cheers,
>
> Marius
>
> library(doSNOW)
> library(Rmpi)
> library(rlecuyer)
> library(foreach)
You're using 4 different contributed packages here. Do you really need 
all of those?  If so, it's going to be hard to debug.

I'd suggest trying to determine the last successful call, and the first 
unsuccessful one, then take this up with the maintainer of the package 
that fails.

Duncan Murdoch
>
> cl<- makeCluster(mpi.universe.size(), type ="MPI")
> tmp<- clusterSetupRNG(cl, seed=rep(1,6))
> registerDoSNOW(cl)
>
> counter<- 0
> res<- foreach(k = 1:1000) %do% {
>      counter<- counter + 1
> }
> tmp<- stopCluster(cl)
>
> unlist(res)
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