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Towards Stress Testing Open5GS Core (UPF Node) On A 5G Standalone Testbed

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dc.contributor.author Mamushiane, Lusani
dc.contributor.author Lysko, Albert A
dc.contributor.author Makhosa, Thoriso M
dc.contributor.author Mwangama, J
dc.contributor.author Kobo, Hlabishi I
dc.contributor.author Mbanga, Alec
dc.contributor.author Tshimange, Rofhiwa
dc.date.accessioned 2024-02-15T06:28:17Z
dc.date.available 2024-02-15T06:28:17Z
dc.date.issued 2023-09
dc.identifier.citation Mamushiane, L., Lysko, A.A., Makhosa, T.M., Mwangama, J., Kobo, H.I., Mbanga, A. & Tshimange, R. 2023. Towards Stress Testing Open5GS Core (UPF Node) On A 5G Standalone Testbed. http://hdl.handle.net/10204/13599 . en_ZA
dc.identifier.isbn 979-8-3503-3621-4
dc.identifier.isbn 979-8-3503-3622-1
dc.identifier.uri DOI: 10.1109/AFRICON55910.2023.10293284
dc.identifier.uri http://hdl.handle.net/10204/13599
dc.description.abstract The global market for 5G technology has been experiencing significant growth and is expected to continue expanding rapidly in the foreseeable future. In 2020 alone, more than 225 million 5G smartphones were sold worldwide. This trend urges network operators to investigate and assess the readiness of their existing and planned 5G network infrastructure to effectively serve the increasing number of 5G subscribers. Among the various components of a 5G mobile network, the User Plane Function (UPF) within the core network plays a crucial role in determining its performance. As a result, it is essential for both network equipment vendors and operators to evaluate the performance of their UPF ecosystem. This research paper takes an initial step towards profiling UPF performance by employing stress testing procedures. The primary performance metric measured in this study is the CPU utilization of a UPF Network Function under different levels of network traffic. We leverage open-source 3GPP-compliant 5G New Radio stack by UERANSIM and a Core Network implementation by the Open5GS project. Our results show that the Open5Gs UPF implementation can achieve up to 200 concurrent data connections using only 17 % of the virtual machine's CPUs and 200 control traffic connections using only 15% of the same CPUs. en_US
dc.format Abstract en_US
dc.language.iso en en_US
dc.relation.uri https://ieeexplore.ieee.org/document/10293284 en_US
dc.source 2023 IEEE AFRICON, Kenya, 20-22 September 2023 en_US
dc.subject 5G Standalone en_US
dc.subject Stress testing en_US
dc.subject Load testing en_US
dc.subject User Plane Function en_US
dc.subject UPF en_US
dc.subject Core Networks en_US
dc.subject Control traffic en_US
dc.subject User traffic en_US
dc.title Towards Stress Testing Open5GS Core (UPF Node) On A 5G Standalone Testbed en_US
dc.type Conference Presentation en_US
dc.description.pages 7 en_US
dc.description.note Copyright: 2023 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://ieeexplore.ieee.org/document/10293284 en_US
dc.description.cluster Next Generation Enterprises & Institutions en_US
dc.description.impactarea Cloud & Network Architectures en_US
dc.description.impactarea Spectrum Access Mgmt Innov en_US
dc.identifier.apacitation Mamushiane, L., Lysko, A. A., Makhosa, T. M., Mwangama, J., Kobo, H. I., Mbanga, A., & Tshimange, R. (2023). Towards Stress Testing Open5GS Core (UPF Node) On A 5G Standalone Testbed. http://hdl.handle.net/10204/13599 en_ZA
dc.identifier.chicagocitation Mamushiane, Lusani, Albert A Lysko, Thoriso M Makhosa, J Mwangama, Hlabishi I Kobo, Alec Mbanga, and Rofhiwa Tshimange. "Towards Stress Testing Open5GS Core (UPF Node) On A 5G Standalone Testbed." <i>2023 IEEE AFRICON, Kenya, 20-22 September 2023</i> (2023): http://hdl.handle.net/10204/13599 en_ZA
dc.identifier.vancouvercitation Mamushiane L, Lysko AA, Makhosa TM, Mwangama J, Kobo HI, Mbanga A, et al, Towards Stress Testing Open5GS Core (UPF Node) On A 5G Standalone Testbed; 2023. http://hdl.handle.net/10204/13599 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Mamushiane, Lusani AU - Lysko, Albert A AU - Makhosa, Thoriso M AU - Mwangama, J AU - Kobo, Hlabishi I AU - Mbanga, Alec AU - Tshimange, Rofhiwa AB - The global market for 5G technology has been experiencing significant growth and is expected to continue expanding rapidly in the foreseeable future. In 2020 alone, more than 225 million 5G smartphones were sold worldwide. This trend urges network operators to investigate and assess the readiness of their existing and planned 5G network infrastructure to effectively serve the increasing number of 5G subscribers. Among the various components of a 5G mobile network, the User Plane Function (UPF) within the core network plays a crucial role in determining its performance. As a result, it is essential for both network equipment vendors and operators to evaluate the performance of their UPF ecosystem. This research paper takes an initial step towards profiling UPF performance by employing stress testing procedures. The primary performance metric measured in this study is the CPU utilization of a UPF Network Function under different levels of network traffic. We leverage open-source 3GPP-compliant 5G New Radio stack by UERANSIM and a Core Network implementation by the Open5GS project. Our results show that the Open5Gs UPF implementation can achieve up to 200 concurrent data connections using only 17 % of the virtual machine's CPUs and 200 control traffic connections using only 15% of the same CPUs. DA - 2023-09 DB - ResearchSpace DP - CSIR J1 - 2023 IEEE AFRICON, Kenya, 20-22 September 2023 KW - 5G Standalone KW - Stress testing KW - Load testing KW - User Plane Function KW - UPF KW - Core Networks KW - Control traffic KW - User traffic LK - https://researchspace.csir.co.za PY - 2023 SM - 979-8-3503-3621-4 SM - 979-8-3503-3622-1 T1 - Towards Stress Testing Open5GS Core (UPF Node) On A 5G Standalone Testbed TI - Towards Stress Testing Open5GS Core (UPF Node) On A 5G Standalone Testbed UR - http://hdl.handle.net/10204/13599 ER - en_ZA
dc.identifier.worklist 27283 en_US


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