Tell us about your experience!
If you followed one of our tutorials on TriScale, we would love to hear what you thought about it!
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This page gathers tutorial materials related to TriScale. You will find here:
- Slides and recordings from live tutorial sessions, which are more "lecture-style;"
- Jupyter notebooks that combine documentation with example code snippets as well as some hands-on exercises.
If you are not familiar with Jupyter notebooks, you can get started with some basics by clicking
launch binderbutton below (it may take a few minutes to load). It will take you to a live demo of Jupyter notebooks covering everything you need to know to follow the TriScale tutorials.
As an alternative, you can find online many tutorials to get you started (eg the official Jupyter tutorial).
There are two sets of notebooks covering tutorial materials for TriScale. One is intended for self-study, one for the live tutorial sessions. They cover the same content, but the second set contains less documentation and discussions (since these happen live!).
We recommend that you run the tutorial notebooks online, using Binder, by simply clicking the launch binder buttons listed below (it may take a few minutes to load the first time).
Alternatively, you can of course run them locally after cloning this repo and installing the corresponding dependencies (see instructions).
This notebook presents TriScale's experiment_sizing function, which implement a methodology to define the minimal number of runs required to estimate a certain performance objective with a given level of confidence.
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| Live session |  |
| Self-study | |
This notebook presents TriScale's data analysis functions, leading to the computation of variability scores, which serve to quantify replicability.
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| Live session | |
| Self-study | |
This notebook presents the importance of accounting for seasonal components in the data analysis.
| Version | |
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| Live session | |
| Self-study | |
Please note that the slides linked below are no scripts or lecture notes but are really designed as support for live presentations: they are not always self-explanatory!
To discover TriScale, we advise starting with tutorial recordings (below) followed by self-study notebooks (above).
Tutorial: Supporting Replicable Networking Experiments with TriScale
4th CPS-IoTBench Workshop, Virtual (May 2021)
IoTBench: Reproducibility challenge in wireless networking research
5th CROSS Symposium, Virtual (October 2020)
Confidence in experimental evaluations:
Time to do better than "Believe me, it’s true!"
EWSN Conference, Lyon, France (February 2020)
All the tutorial material listed on this page is licensed under a Creative Commons Attribution 4.0 International License. You are more than welcome to adapt and/or reuse any of it. If you do so,
- Please give appropriate credit by indicated the source (this repository);
- Please drop me a line about it, I would love to here in which context this was useful for you. 🙂