Sounds more like you would want to explore the use of some sort of Queueing
model. A quick search of R help did not yield any packages that could be
used to develop such models, but I think that modeling simple queuing
systems and estimating wait times is pretty straight forward and could be
programmed in R. Hopefully someone out there will have more/better advice.

Good luck,

Spencer


On 6/19/07, Roshan Sumbaly <rsumbaly@gmail.com> wrote:
>
> I am working on a data set which has the waiting times taken of jobs
> running
> on a cluster. I need to come up with a method to use this historical data
> to
> come up with a prediction for the future. Even probably try simulating the
> full history (as in I have history of the job submission time and running
> time,etc). So I can run through the actual history and at every job
> submission, depending on the status of the cluster, try to predict the
> waiting time. Can I do this using any of the models used in R?
>
> Particularly "forecast"...Can I used ARIMA or ARMA for this? ...The
> problem
> is I don't think I'm dealing with time series because the measurements of
> waiting times (at a particular state i.e. job submission) ain't done at
> regular intervals. Could anyone please suggest a model for this?
>
> Thanking you,
> RS
>
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