Enabling Event-Triggered Data Plane Monitoring

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F20%3A10133266" target="_blank" >RIV/63839172:_____/20:10133266 - isvavai.cz</a>

Alternative codes found

RIV/00216305:26230/20:PU135360

Result on the web

<a href="http://dx.doi.org/10.1145/3373360.3380830" target="_blank" >http://dx.doi.org/10.1145/3373360.3380830</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3373360.3380830" target="_blank" >10.1145/3373360.3380830</a>

Result language

angličtina

Original language name

Enabling Event-Triggered Data Plane Monitoring

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

SOSR 2020: Proceedings of the 2020 ACM Symposium on SDN Research

ISBN

978-1-4503-7101-8

ISSN

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e-ISSN

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Number of pages

13

Pages from-to

14-26

Publisher name

ACM

Place of publication

New York, NY, USA

Event location

San Jose, CA, USA

Event date

Mar 3, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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