Enhancing Scalability in SRv6 Networks: A Novel Approach

The widespread use of cloud-native environments poses network challenges, requiring complex routing and control. Segment Routing over IPv6 (SRv6) provides a solution that simplifies network management and enables explicit routing with a programmable mechanism to steer traffic under dynamic conditions. However, SRv6 can lead to large packet sizes due to its node representation using IPv6 addresses. A novel technique, called SRv6 Policy Translation (SRv6-PT), is proposed in this paper to address this issue. SRv6-PT optimizes packet size by including only a fraction of the forwarding route in the Segment List, ensuring efficient routing. This solution is implemented as a Linux kernel module and tested against existing solutions, revealing its advantages and limitations.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3645322
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Scalability in SRv6 Networks: A Novel Approach

Ákos Leiter, László Bokor, Pál Böõsy
IEEE Access
Software-Defined Networks and 5G
article

Enhancing Scalability in SRv6 Networks: A Novel Approach

Ákos Leiter, László Bokor, Pál Böõsy
article en

Abstract

The widespread use of cloud-native environments poses network challenges, requiring complex routing and control. Segment Routing over IPv6 (SRv6) provides a solution that simplifies network management and enables explicit routing with a programmable mechanism to steer traffic under dynamic conditions. However, SRv6 can lead to large packet sizes due to its node representation using IPv6 addresses. A novel technique, called SRv6 Policy Translation (SRv6-PT), is proposed in this paper to address this issue. SRv6-PT optimizes packet size by including only a fraction of the forwarding route in the Segment List, ensuring efficient routing. This solution is implemented as a Linux kernel module and tested against existing solutions, revealing its advantages and limitations.

IEEE AccessVol. 13
Nokia (Finland) (FI), Budapest University of Technology and Economics (HU), HUN-REN Institute for Computer Science and Control (HU), Network Technologies (United States) (US)
Openalex Percentile: Top 54%
Software-Defined Networks and 5G
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