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Tofino implementation of the PRECISION heavy-hitter algorithm

This directory hosts a P4 implementation of PRECISION running on the Barefoot Tofino programmable switch.

PRECISION is a heavy-hitter detection algorithm that uses Partial Recirculation to estimate flow sizes for the heaviest flows in the network, recirculating only a small percentage of packets to minimize throughput impact. For more detail, including a discussion for how to tailor stateful algorithm design for Tofino hardware, please refer to our paper: Designing Heavy-Hitter Detection Algorithms for Programmable Switches.

Setup

The P4 data plane program uses d=2-way associative hashing. Each incoming packet is mapped to a 128-bit flow ID, which is stored in four 32-bit partitions. The current version uses flow 5-tuple (source/destination IP address, source/destination ports, protocol) plus VLAN ID as the flow ID.

The current version of the data plane program is designed for processing tapped traffic stream (in the P4Campus setup), thus does not include routing functionality. The program outputs an estimated flow size for a packet's flow ID (if matched with an existing counter) into hdr.ethernet.dst_addr.

The control plane component is responsible for reading from and purging the registers, and generating a periodic report for heavy-hitter flows. The control plane script will be made available in a future release.

Citing PRECISION

If you find this PRECISION implementation or the discussions in our paper useful, please consider citing:

@article{basat2020precision,
    title={Designing Heavy-Hitter Detection Algorithms for Programmable Switches},
    author={Basat, Ran Ben and Chen, Xiaoqi and Einziger, Gil and Rottenstreich, Ori},
    journal={IEEE/ACM Transactions on Networking},  
    volume={28},
    number={3},
    year={2020},
    publisher={IEEE}
}

Authors of the PRECISION algorithm:

  • Ran Ben Basat, Harvard University
  • Xiaoqi Chen, Princeton University
  • Gil Einziger, Ben Gurion University
  • Ori Rottenstreich, Technion

License

Copyright 2019 Xiaoqi Chen, Princeton University.

The project's source code are released here under the GNU Affero General Public License v3. In particular,

  • You are entitled to redistribute the program or its modified version, however you must also make available the full source code and a copy of the license to the recipient. Any modified version or derivative work must also be licensed under the same licensing terms.
  • You also must make available a copy of the modified program's source code available, under the same licensing terms, to all users interacting with the modified program remotely through a computer network.

(TL;DR: you should also open-source your derivative work's P4 source code under AGPLv3.)