This repository contains experimental evaluation of TCP bifurcation behaviour in two different models. First model represents RED congestion control and the second model represents basic TCP packet flow. We also provide simple simulation mechanisms for both models.
In case of the RED model, we test dependence on two parameters: averaging weight and number of connections. First two experiments test each parameter separately. The third experiment then provides combined results for both parameters.
The experiments run on a Java Virtual Machine and should be therefore easily reproducible on almost any platform. The project is built using Gradle and all dependencies are obtained dynamically when first compiled (internet connection required).
Each experiment has a dedicated Gradle task which produces the results into a local .json file. This file can be then visualised using Pithya tool (use "advanced settings" and "show grid" checkboxes for better visibility). Note that the full bifurcation diagram is obtained by combining the visualisations for various properties in the output file.
Resources: Note that some experiments can be resource intensive. Each experiment is configured to use at most 12GB of RAM. If this amount of memory is not available, the experiment may fail. Also, experiments typically run from several minutes up to a few hours on a typical 4-core desktop CPU.
In order to re-run the experiments, call the following commands in the root of this repository (on Windows, substitute gradlew for gradlew.bat):
- RED Weight:
./gradlew runREDWeight - RED Connections:
./gradlew runREDConnections - RED Both:
./gradlew runREDWeightAndConnections - TCP, 8KiB increments, cyclic timer off:
./gradlew runTCPScale8NoAck - TCP, 8KiB increments, cyclic timer on:
./gradlew runTCPScale8WithAck - TCP, 1KiB increments, cyclic timer off:
./gradlew runTCPNoAck - TCP, 1KiB increments, cyclic timer on:
./gradlew runTCPWithAck