Bring Functions Back to the Network: A Measurement Study

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Abstract

Network Function Virtualization (NFV) is envisioned to provide the foundation for a dynamic, high-performance multi-layer network architecture. With NFV, running network functions on general-purpose hardware is supposed to lower network latency due to reduced propagation delay. The tradeoff, however, is in impaired reliability and increased processing latency, which could negatively affect Quality of Service (QoS) and Quality of Experience (QoE). We investigate the tradeoff via a comprehensive measurement study exploiting a high-precision measurement method on a carrier-grade Cisco Catalyst 9500 Series switch, which provides enhanced computing capability via lightweight containerization. Baseline results on packet forwarding latency confirm that software-based forwarding is inferior to the hardware pendant. Subsequently, we deploy a more realistic application with an example for network coding and introduce a new metric, re-coding opportunities. Our study identifies a superior performance of generic hardware, but also shows advantages of in-network computing for latency-tolerable scenarios.

Details

OriginalspracheEnglisch
Titel2024 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2024
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers (IEEE)
Seitenumfang6
ISBN (elektronisch)979-8-3503-8053-8
PublikationsstatusVeröffentlicht - 2024
Peer-Review-StatusJa

Publikationsreihe

ReiheIEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)
ISSN2832-224X

Konferenz

Titel2024 IEEE Conference on Network Function Virtualization and Software Defined Networks
KurztitelIEEE NFV-SDN 2024
Veranstaltungsnummer10
Dauer5 - 7 November 2024
Webseite
OrtPraiamar Natal Hotel & Convention
StadtNatal
LandBrasilien

Externe IDs

ORCID /0000-0001-8469-9573/work/184003925
ORCID /0000-0001-7008-1537/work/184005064
ORCID /0000-0003-0745-2264/work/184005380

Schlagworte

Schlagwörter

  • In-Network Computing, Measurement, Network Function Virtualization, Quality of Service, Random Linear Network Coding