Bring Functions Back to the Network: A Measurement Study

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

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

Original languageEnglish
Title of host publication2024 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2024
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (electronic)979-8-3503-8053-8
Publication statusPublished - 2024
Peer-reviewedYes

Publication series

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

Conference

Title2024 IEEE Conference on Network Function Virtualization and Software Defined Networks
Abbreviated titleIEEE NFV-SDN 2024
Conference number10
Duration5 - 7 November 2024
Website
LocationPraiamar Natal Hotel & Convention
CityNatal
CountryBrazil

External IDs

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

Keywords

Keywords

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