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 <[EMAIL PROTECTED]> 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 > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
