Detail publikace

Enabling Event-Triggered Data Plane Monitoring

KUČERA, J. POPESCU, D. WANG, H. MOORE, A. KOŘENEK, J. ANTICHI, G.

Originální název

Enabling Event-Triggered Data Plane Monitoring

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

We propose a push-based approach to network monitoring that allows the detection, within the dataplane, of traffic aggregates. Notifications from the switch to the controller are sent only if required, avoiding the transmission or processing of unnecessary data. Furthermore, the dataplane iteratively refines the responsible IP prefixes, allowing the controller to receive information with a flexible granularity. We implemented our solution, Elastic Trie, in P4 and for two different FPGA devices. We evaluated it with packet traces from an ISP backbone. Our approach can spot changes in the traffic patterns and detect (with 95% of accuracy) either hierarchical heavy hitters with less than 8KB or superspreaders with less than 300KB of memory, respectively. Additionally, it reduces controller-dataplane communication overheads by up to two orders of magnitude with respect to state-of-the-art solutions.

Klíčová slova

Network measurements, traffic aggregates, Elastic Trie, P4

Autoři

KUČERA, J.; POPESCU, D.; WANG, H.; MOORE, A.; KOŘENEK, J.; ANTICHI, G.

Vydáno

3. 3. 2020

Nakladatel

Association for Computing Machinery

Místo

New York, NY

ISBN

978-1-4503-7101-8

Kniha

SOSR 2020 - Proceedings of the 2020 Symposium on SDN Research

Strany od

14

Strany do

26

Strany počet

13

URL

https://www.fit.vut.cz/research/publication/11810/

BibTex

@inproceedings{BUT162080,
  author="KUČERA, J. and POPESCU, D. and WANG, H. and MOORE, A. and KOŘENEK, J. and ANTICHI, G.",
  title="Enabling Event-Triggered Data Plane Monitoring",
  booktitle="SOSR 2020 - Proceedings of the 2020 Symposium on SDN Research",
  year="2020",
  pages="14--26",
  publisher="Association for Computing Machinery",
  address="New York, NY",
  doi="10.1145/3373360.3380830",
  isbn="978-1-4503-7101-8",
  url="https://www.fit.vut.cz/research/publication/11810/"
}