Publication Details
Enabling Event-Triggered Data Plane Monitoring
Popescu Diana A. (The University of Cambridge)
Wang Han (BFN)
Moore Andrew W. (The University of Cambridge)
Kořenek Jan, doc. Ing., Ph.D. (DCSY FIT BUT)
Antichi Gianni (QMUL)
Network measurements, traffic aggregates, Elastic Trie, P4
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.
@INPROCEEDINGS{FITPUB11810,
author = "Jan Ku\v{c}era and A. Diana Popescu and Han Wang and W. Andrew Moore and Jan Ko\v{r}enek and Gianni Antichi",
title = "Enabling Event-Triggered Data Plane Monitoring",
pages = "14--26",
booktitle = "SOSR 2020 - Proceedings of the 2020 Symposium on SDN Research",
year = 2020,
location = "New York, NY, US",
publisher = "Association for Computing Machinery",
ISBN = "978-1-4503-7101-8",
doi = "10.1145/3373360.3380830",
language = "english",
url = "https://www.fit.vut.cz/research/publication/11810"
}