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CrossRSS: Stateless CPU-aware datacenter load-balancing

This repository contains information/source code to perform the experiments done in CrossRSS published at CoNEXT'20 poster session.

Experiments

Note that you have to setup your testbed based on our guidelines before running any experiment. The experiments all replay a trace through a load-balancer that dispatches packets to 4 virtual servers, that all have 4 cores. It therefore uses actually 17 cores. Any trace should do, we used a campus one. Impact of the trace is discussed in length in the RSS++ paper, our previous work. NPF auto-generates the graph after running the experiments. The graphs in the poster are the one directly generated by NPF.

Reproducibility

The full data as generated by NPF, the automatically generated graphs in PDF and CSV files are available in this repository.

This command will re-generate the graphs from the NPF data cache (in the results folder) without actually running the test.

./do_graph.sh --no-test --use-last

If you want to run the tests yourself, you may open do_graph.sh, change DPDK=0 as it's not strictly needed, set a path to your own campus trace, and run the above commands without the arguments.

Variance

The first experiment analyses the variance among server, and is generated using the first npf-compare line of do_graph.sh

Throughput

The second experiment analyses the throughput the 4 servers of 4 cores can handle with the various load balancing techniques. It is generated by the second npf-compare line of do_graph.sh

Citing our poster

If you use CrossRSS in any context, please cite our poster extended abstract:

@inproceedings{barbette2020stateless,
  title={Stateless CPU-aware datacenter load-balancing},
  author={Barbette, Tom and Chiesa, Marco and Maguire Jr, Gerald Q and Kosti{\'c}, Dejan},
  booktitle={Proceedings of the 16th International Conference on emerging Networking EXperiments and Technologies},
  pages={548--549},
  year={2020},
  month = dec,
}

Getting Help

If you have any questions regarding our code or the paper, you can contact Tom Barbette (barbette at kth.se).

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