Towards Understanding the Performance of Traffic Policing in Programmable Hardware Switches

Nemanja Eeric, Amir Varasteh, Amaury Van Bemten, Carmen Mas-Machuca, Wolfgang Kellerer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

To provide the predictability required by emerging applications, operators typically rely on policing and/or shaping at the edge to ensure that tenants do not use excess bandwidth that was not accounted for. One of the promises of 6G is to deploy applications with strict predictability requirements across subnets and even over the Internet, where policing cannot be implemented in the end hosts. This paper presents an empirical study of the ability of modern programmable network devices to implement predictable traffic policing in the network. We find out that none of the five investigated hardware switches can provide accurate traffic policing, a key requirement for providing predictable service to applications. We observe that the switches let applications send more than what they should be allowed to, reaching up to 60% and 100% relative error for the rate and burst parameters. We further uncover the fact that switches cannot police arbitrarily low bursts, e.g., not less than 13 kilobit for one of our switches. We investigate how such limitations impact the performance of state-of-the-art solutions for predictable latency such as Chameleon. We observe that, for ensuring its predictable guarantees, Chameleon rejects around 50% of the tenants it could accommodate if switches were perfect, hence decreasing by the same ratio the revenue for the operator. Based on these observations, we discuss solutions toward more accurate and predictable policing in wide-area networks.

Original languageEnglish
Title of host publicationProceedings of the 2021 IEEE Conference on Network Softwarization
Subtitle of host publicationAccelerating Network Softwarization in the Cognitive Age, NetSoft 2021
EditorsKohei Shiomoto, Young-Tak Kim, Christian Esteve Rothenberg, Barbara Martini, Eiji Oki, Baek-Young Choi, Noriaki Kamiyama, Stefano Secci
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages70-78
Number of pages9
ISBN (Electronic)9781665405225
DOIs
StatePublished - 28 Jun 2021
Event7th IEEE International Conference on Network Softwarization, NetSoft 2021 - Virtual, Online
Duration: 28 Jun 20212 Jul 2021

Publication series

NameProceedings of the 2021 IEEE Conference on Network Softwarization: Accelerating Network Softwarization in the Cognitive Age, NetSoft 2021

Conference

Conference7th IEEE International Conference on Network Softwarization, NetSoft 2021
CityVirtual, Online
Period28/06/212/07/21

Keywords

  • Network measurements
  • Network predictability
  • Software defined networks
  • Traffic policing
  • Traffic shaping

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