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

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

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

Original languageEnglish
Title of host publication2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023 - Proceedings
EditorsFrank H.P. Fitzek, Larry Horner, Molka Gharbaoui, Giang Nguyen, Rentao Gu, Tobias Meuser
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages34-39
Number of pages6
ISBN (electronic)979-8-3503-0254-7
Publication statusPublished - 2023
Peer-reviewedYes

Conference

Title2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023
Duration7 - 9 November 2023
CityDresden
CountryGermany

External IDs

ORCID /0000-0001-7008-1537/work/158767458

Keywords

Keywords

  • Network Coding, Network Function Virtualization, OpenStack