MACI: Seamless Execution and Analysis of Extensive Network Experiments

1. Demo

2. Getting Started

MACI is self-explaining and provides a web interface at http://<SERVER_IP>:63658 (e.g., http://localhost:63658). Use one of the following options to get started:

• Alternative 1: Get the source and follow the instructions in the readme, which basically boils down to:

  git clone https://github.com/AlexanderFroemmgen/maci.git
  cd maci
  ./install.sh
  ./start.sh

• Alternative 2: A full MACI setup can be launched using docker-compose as described here.
• Alternative 3: A ready to use AWS AMI is available in the AWS region Frankfurt. Follow these steps to start your AWS AMI:
  • Login at your AWS Console
  • In the AWS Console, select the EC2 service and select Launch Instance
  • Select Community AMIs, search for maci-v1, and click select
  • Follow the instructions and configure your instance
  • Login at your instance and run ./start.sh. You may want to use ssh port forwarding to access the web interface, e.g., with the following command ssh -L 63658:localhost:63658 8888:localhost:8888 <host>.

3. Overview Paper

A detailed paper about MACI was published as part CoNEXT'18 and is available here. If you use MACI in scientific papers, please use the following citation.

Don't Repeat Yourself: Seamless Execution and Analysis of Extensive Network Experiments

by Alexander Frömmgen, Denny Stohr, Boris Koldehofe and Amr Rizk. In: Proceedings of the 14th International Conference on emerging Networking EXperiments and Technologies (CoNEXT'18)

Copy Bib @inproceedings{froemmgen2018maci, title={{Don't Repeat Yourself: Seamless Execution and Analysis of Extensive Network Experiments}}, author={Froemmgen, Alexander and Stohr, Denny and Koldehofe, Boris and Rizk, Amr}, booktitle={Proceedings of the 14th International Conference on emerging Networking EXperiments and Technologies (CoNEXT'18)}, year={2018}, }

4. Research Papers that used MACI

The following papers span over different topics such as video streaming, Multipath TCP and Topology Pattern Matching.

• Where are the Sweet Spots? A Systematic Approach to Reproducible DASH Player Comparisons by Denny Stohr, Alexander Frömmgen, Amr Rizk, Michael Zink, Ralf Steinmetz and Wolfgang Effelsberg, ACM Multimedia 2017.
• A Programming Model for Application-defined Multipath TCP Scheduling by Alexander Frömmgen, Amr Rizk, Tobias Erbshäußer, Max Weller, Boris Koldehofe, Alejandro Buchmann and Ralf Steinmetz, Best Paper Award, ACM/IFIP/USENIX Middleware 2017.
• Demo: Programming Application-defined Multipath TCP Schedulers by Alexander Frömmgen and Boris Koldehofe, ACM/IFIP/USENIX Middleware 2017.
• Scaling Topology Pattern Matching: A Distributed Approach by Michael Stein, Alexander Frömmgen, Roland Kluge, Lin Wang, Augustin Wilberg, Boris Koldehofe and Max Mühlhäuser, ACM SAC 2018.
• Multipath TCP Scheduling for Thin Streams: Active Probing and One-way Delay-awarness by Alexander Frömmgen, Jens Heuschkel and Boris Koldehofe, IEE ICC 2018.
• Multipath QUIC: A Deployable Multipath Transport Protocol by Tobias Viernickel, Alexander Frömmgen, Amr Rizk, Boris Koldehofe and Ralf Steinmetz, IEEE ICC 2018.

Please contact us if you want your publication to be added to this list.

Acknowledgments

This work has been funded by MAKI to make the Internet more adaptive.

This work was supported by the AWS Cloud Credits for Research program