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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