Skip to content

Source code to reproduce the experiments for the paper entitled "A Green Network-Aware VMs Placement Mechanism", which has been accepted to IEEE Global Communications Conference - GLOBECOM 2014.

Notifications You must be signed in to change notification settings

thiagokokada/globecom-2014-simulation

 
 

Repository files navigation


GLOBECOM-2014-SIMULATION


This repository contains the source code to reproduce the experiments for the paper entitled "A Green Network-Aware VMs Placement Mechanism", which has been accepted to IEEE Global Communications Conference - GLOBECOM 2014.

Using Vagrant: Installing from a base box

You can easily setup a Vagrant box to reproduce the simulation. The requirements to run the box are Vagrant, and VirtualBox. Once installed run:

Get the box

# Initialize the box:
vagrant init jfredett/arch-chef

# Start the box:
vagrant up

# Ssh into the box:
vagrant ssh

Install the dependencies

# To install the base packages run:
wget --no-check-certificate https://raw.githubusercontent.com/vonpupp/globecom-2014-simulation/master/setup/arch-setup.sh -O - | sh

Clone the repository

# First, clone the repository and initialize the submodules:
git clone https://github.com/vonpupp/globecom-2014-simulation.git
cd globecom-2014-simulation
./00submodules.sh

# Then execute the experiments (Note that you can customize the ``scenariosvar.py`` to change the simulation parameters):
python 01simulate.py

# And summarize the data and generate the figures with:
python 02summarizedata.py

Alternative method: Using the sbrc14-pycloudsim pre-built box

There is also a pre-built box also in case you prefer this method.

# Initialize the box:
vagrant init vonpupp/sbrc14-pycloudsim

# Start the box:
vagrant up

# Ssh into the box:
vagrant ssh

The workload data have been obtained from the CoMon project, a monitoring infrastructure for PlanetLab (http://comon.cs.princeton.edu/). The data used in the simulations in the CSV format are available at https://github.com/vonpupp/planetlab-workload-traces which is a fork from Dr. Anton Beloglazov.

License

Copyright (C) 2014 Albert De La Fuente Vigliotti

About

Source code to reproduce the experiments for the paper entitled "A Green Network-Aware VMs Placement Mechanism", which has been accepted to IEEE Global Communications Conference - GLOBECOM 2014.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 88.2%
  • Shell 11.8%