BFT task distribution model

Simulation model for task pool size calculation.

Description

This model allows to perform experiments of task distribution process in bft environment. Model has 3 parameters:

• number of nodes -n
• number of tasks -v
• precision (number of experiments) -e

Model produces size of node's task pool for chosen precision.

Detailed information about task distribution problem can be found on medium paper.

Usage

You can run model inside a docker container or run app manually with go run. Don't forget to turn on gomodules in that case!

$ make up
Sending build context to Docker daemon  114.7kB
. . .
/ #
/ # bft-task-distrib-model -n 10 -v 100 -e 1000
#  BFT TASK DISTRIBUTION MODEL v.1.0
#  N = 10 V = 100
#  EXP = 1000
#  AVAILABLE WORKERS = 8
#  STARTING AT: 2019-01-14T09:49:00Z
3:67 (1.000) 1(1)
6:50 (0.980) 2(2)
9:45 (1.000) 1(1)
#  ENDED AT: 2019-01-14T09:49:00Z
#  DURATION: 40.430027ms

Output string 3:67 (1.000) 1(1) means, that for 3 nodes, pool size must be 67 tasks.

Relation between max pool size and obtained pool size is 1.000 - so they equal.

Last column is a number of tries to reduce pool size.

There is also gnuplot file with example from medium paper:

$ gnuplot
Terminal type is now 'qt'
gnuplot> load 'results.gp'

License

This project is licensed under the GPLv3 License - see the LICENSE.md file for details