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A tool to simulate and test job scheduling algorithms based on real data

License: GNU General Public License v3.0

Python 97.03% Gherkin 2.97%

hpc-simulator's Introduction

HPC Simulator

Setting up the environment using conda

# Install the necessary dependencies
conda env create -f environment.yml

# Starting the environment
conda activate hpc-sim

Running the dashboard app

# Redirect to the following directory
cd framework/dashboard

# Start the app
python dashboard.py

The app currently runs at debug mode provided by the Dash framework, because this is a work in progress application. It can be easily changed inside the dashboard.py file.

The app's directory structure

  • api includes the necessary package loader for communicating with the database and parsing of the stored (work)loads.
  • framework includes a new fast prototyping front-end and the main backbone of the simulator.
    • dashboard includes the front-end dashboard application for the simulation framework. It will be mainly used for fast experimentation on different data and scheduling algorithms.
    • realsim is the main python library that includes all the core components of the simulation framework. Further information and instructions (for users and developers) can be found by navigating through each of the packages (jobs, generators, cluster, scheduler, logger).

hpc-simulator's People

Contributors

nikost avatar stratos-karas avatar

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