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Tools for performance evaluation and tuning of Virtual Infrastructure Managers for (Micro) Virtual Network Functions

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Vim-tuning-and-eval-tools

Tools for performance evaluation and tuning of Virtual Infrastructure Managers for (Micro) Virtual Network Functions

License

This sofware is licensed under the Apache License, Version 2.0.

Information can be found here: Apache License 2.0.

Structure

The repository is organized in this way:

  • NOMAD.patch contains our patch which adds the initial support for XEN hypervisor and some utility scripts;
  • NOMAD_tuned.patch contains our patch which tunes the support for XEN hypervisor and contains some utility scripts;
  • driver_tuned_v1.py contains our patch which adds the support for ClickOS in OpenStack;
  • nomad_utilities folder contains scripts we used to generate Jobs, to analyze the packets and to generate the plots;
  • openstack_utilities folder

Tips

We report some suggestions useful to handle the code:

  • NOMAD_tuned.patch depends on NOMAD.patch.
  • NOMAD.patch depends on commit 7f4140758ee0660e23303305a2634ef442a76114.
  • It is necessary to install all the dependecies of the Python scripts.
  • It is necessary to install all the dependecies of the GO program.
  • nomad_pusher.go depens on xen_job.json

Usage

We report the usage of our scripts:

  • For nomad_driver_analyzer.py, it is necessary to put the necessary input in the folder ./nomad_traces and then run the command:

      ./nomad_driver_analyzer.py
    
  • For nomad_packet_analyzer.py, it is necessary to put the necessary packets traces in the folder ./nomad_traces and then run the command:

      ./nomad_packets_analyzer.py
    
  • For nomad_pusher.jo, it is necessary to create a main program like this:

      package main
    
      import (
          "github.com/user_xxx/our_go_files"
      )
    
      func main() {
          pushers.NomadJobPusher("xen", 100)
      }
    

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Tools for performance evaluation and tuning of Virtual Infrastructure Managers for (Micro) Virtual Network Functions

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  • Python 97.9%
  • Go 2.1%