Detail publikace

Detecting Routing Loops in the Data Plane

KUČERA, J. BEN BASAT, R. KUKA, M. ANTICHI, G. YU, M. MITZENMACHER, M.

Originální název

Detecting Routing Loops in the Data Plane

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Routing loops can harm network operation. Existing loop detection mechanisms, including mirroring packets, storing state on switches, or encoding the path onto packets, impose significant overheads on either the switches or the network. We present Unroller, a solution that enables real-time identification of routing loops in the data plane with minimal overheads. Our algorithms encode a varying fixed-size subset of the traversed path on each packet. That way, our overhead is independent of the path length, while we can detect the loop once the packet returns to some encoded switch. We implemented Unroller in P4 and compiled into three different FPGA targets. We then compared it against state-of-the-art solutions on real WAN and data center topologies and show that it requires from 6x to 100x fewer bits added to packets than existing methods.

Klíčová slova

Network algorithms, monitoring, routing loop detection, Unroller

Autoři

KUČERA, J.; BEN BASAT, R.; KUKA, M.; ANTICHI, G.; YU, M.; MITZENMACHER, M.

Vydáno

23. 11. 2020

Nakladatel

Association for Computing Machinery

Místo

New York, NY

ISBN

978-1-4503-7948-9

Kniha

CoNEXT 2020 - Proceedings of the 16th International Conference on Emerging Networking EXperiments and Technologies

Strany od

466

Strany do

473

Strany počet

8

URL

https://www.fit.vut.cz/research/publication/12105/

BibTex

@inproceedings{BUT162287,
  author="KUČERA, J. and BEN BASAT, R. and KUKA, M. and ANTICHI, G. and YU, M. and MITZENMACHER, M.",
  title="Detecting Routing Loops in the Data Plane",
  booktitle="CoNEXT 2020 - Proceedings of the 16th International Conference on Emerging Networking EXperiments and Technologies",
  year="2020",
  pages="466--473",
  publisher="Association for Computing Machinery",
  address="New York, NY",
  doi="10.1145/3386367.3431303",
  isbn="978-1-4503-7948-9",
  url="https://www.fit.vut.cz/research/publication/12105/"
}