PRAVEGA: Scaling Private 5G RAN via eBPF/XDP

Udhaya Kumar Dayalan; Ziyan Wu; Gaurav Gautam; Feng Tian; Zhi Li Zhang

doi:10.1145/3609021.3609303

PRAVEGA: Scaling Private 5G RAN via eBPF/XDP

Udhaya Kumar Dayalan, Ziyan Wu, Gaurav Gautam, Feng Tian, Zhi Li Zhang

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We exploit eBPF+XDP to scale and accelerate software packet processing in (O-RAN compliant) disaggregated 5G RAN (Radio Access Network). We argue that the Central Unit User Plane (CU-UP) component is likely the bottleneck in the 5G RAN user plane data path and therefore focuses on optimizing its performance. We propose an eBPF/XDP-based framework, PRAVEGA, and discuss additional options for further improvements.

Original language	English (US)
Title of host publication	eBPF 2023 - Proceedings of the ACM SIGCOMM 2023 Workshop on eBPF and Kernel Extensions
Publisher	Association for Computing Machinery, Inc
Pages	89-91
Number of pages	3
ISBN (Electronic)	9798400702938
DOIs	https://doi.org/10.1145/3609021.3609303
State	Published - Sep 10 2023
Event	1st Workshop on eBPF and Kernel Extensions, eBPF 2023 - New York, United States Duration: Sep 10 2023 → …

Publication series

Name	eBPF 2023 - Proceedings of the ACM SIGCOMM 2023 Workshop on eBPF and Kernel Extensions

Conference

Conference	1st Workshop on eBPF and Kernel Extensions, eBPF 2023
Country/Territory	United States
City	New York
Period	9/10/23 → …

Bibliographical note

Publisher Copyright:
© 2023 Owner/Author(s).

Keywords

5G throughput
5G, RAN
O-RAN central unit
XDP
eBPF

Access

10.1145/3609021.3609303

OpenUrl availability

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Cite this

Dayalan, U. K., Wu, Z., Gautam, G., Tian, F., & Zhang, Z. L. (2023). PRAVEGA: Scaling Private 5G RAN via eBPF/XDP. In eBPF 2023 - Proceedings of the ACM SIGCOMM 2023 Workshop on eBPF and Kernel Extensions (pp. 89-91). (eBPF 2023 - Proceedings of the ACM SIGCOMM 2023 Workshop on eBPF and Kernel Extensions). Association for Computing Machinery, Inc. https://doi.org/10.1145/3609021.3609303

PRAVEGA: Scaling Private 5G RAN via eBPF/XDP. / Dayalan, Udhaya Kumar; Wu, Ziyan; Gautam, Gaurav et al.
eBPF 2023 - Proceedings of the ACM SIGCOMM 2023 Workshop on eBPF and Kernel Extensions. Association for Computing Machinery, Inc, 2023. p. 89-91 (eBPF 2023 - Proceedings of the ACM SIGCOMM 2023 Workshop on eBPF and Kernel Extensions).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Dayalan, UK, Wu, Z, Gautam, G, Tian, F & Zhang, ZL 2023, PRAVEGA: Scaling Private 5G RAN via eBPF/XDP. in eBPF 2023 - Proceedings of the ACM SIGCOMM 2023 Workshop on eBPF and Kernel Extensions. eBPF 2023 - Proceedings of the ACM SIGCOMM 2023 Workshop on eBPF and Kernel Extensions, Association for Computing Machinery, Inc, pp. 89-91, 1st Workshop on eBPF and Kernel Extensions, eBPF 2023, New York, United States, 9/10/23. https://doi.org/10.1145/3609021.3609303

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abstract = "We exploit eBPF+XDP to scale and accelerate software packet processing in (O-RAN compliant) disaggregated 5G RAN (Radio Access Network). We argue that the Central Unit User Plane (CU-UP) component is likely the bottleneck in the 5G RAN user plane data path and therefore focuses on optimizing its performance. We propose an eBPF/XDP-based framework, PRAVEGA, and discuss additional options for further improvements.",

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PRAVEGA: Scaling Private 5G RAN via eBPF/XDP

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access

OpenUrl availability

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