Leveraging Data Plane Acceleration for Network Coding Deployment: A Measurement Study

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

Abstract

This paper focuses on integrating Data Plane Development Kit (DPDK) and Service Function Chaining (SFC) on the OpenStack cloud OS to support network coding, enabling the OpenStack instance to function as a virtualized network coding service. The main points are: comparing OpenvSwitch-DPDK with native OpenvSwitch to confirm DPDK's significant network throughput improvement, using SFC to arrange packet processing sequences of instances for varying network coding functionalities, and combining OpenvSwitch and the kernel inside each instance to enable network coding. Performance evaluation and results analysis are presented, demonstrating the feasibility of network coding as a service on any virtual machine with a commodity CPU. Future work includes advancing network coding function virtualization with more automation and intelligence.

Details

OriginalspracheEnglisch
Titel2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023 - Proceedings
Redakteure/-innenFrank H.P. Fitzek, Larry Horner, Molka Gharbaoui, Giang Nguyen, Rentao Gu, Tobias Meuser
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten34-39
Seitenumfang6
ISBN (elektronisch)979-8-3503-0254-7
PublikationsstatusVeröffentlicht - 2023
Peer-Review-StatusJa

Konferenz

Titel2023 IEEE Conference on Network Function Virtualization and Software Defined Networks
KurztitelIEEE NFV-SDN 2023
Veranstaltungsnummer9
Dauer7 - 9 November 2023
Webseite
BekanntheitsgradInternationale Veranstaltung
OrtTU Dresden
StadtDresden
LandDeutschland

Externe IDs

ORCID /0000-0001-7008-1537/work/158767458
ORCID /0000-0001-8469-9573/work/161891127

Schlagworte

Schlagwörter

  • Network Coding, Network Function Virtualization, OpenStack