Great news: a scientific article I have co-authored has been accepted for publication and can now be found online here or via the DOI 10.1016/j.spa.2020.01.011. Yes, my list of publications has been amended 1. This article has been through quite a lengthy review process, and was the main motivation for another one of my blog posts. This post dates to September 2018, yet I only started working on these simulations in the framework of the second round of peer review.
The Setting: Avoiding 4 Weeks of Runtime Recently, I was faced with a problem: I had written a rather complex simulation of a discrete time queueing network, and I needed to let this simulation run with some repetitions of the entire simulation, for some varying different parameter values, with many observations (i.e. ~ 2.000.000 observation). The goal was to verify that a new estimating procedure for such queueing networks provides sensible results.
In a previous post I have shown you how to setup an AWS instance running the newest RStudio, R, Python, Julia and so forth, where the configuration of the instance can be freely chosen. However, there is quite a lot of possibilities of instance configurations out there: There are different instance classes (General Purpose, Compute Optimized, RAM Optimized, … ) and different instance sizes within these classes. For General Purpose, or t2, there are, e.