Scaling Telecom Core Network Functions in Public Cloud Infrastructure

D. Kumar, Somnath Chakrabarti, A. S. Rajan, Jim Huang
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引用次数: 7

Abstract

Telecommunication networks, especially 5G, typify high performance network infrastructure with very high data rates and throughput. Traditionally, high data rates meant line rate in telecom networks. As link capacities increase to 100 Gbit/s, 64byte packet rates will need to reach 150 MPPS. Technologies that attempt to deliver this high packet rate take liberties with proprietary hardware and application-enhanced networking stacks, pushing complexity and cost. Our approach challenges the need to deliver 64byte packet at line rate and instead addresses delivering good enough packet processing capacity with conventional networking stacks natively in the Public Cloud. We explore the deployment of operational telecom core network packet processing on Public Cloud infrastructure and empirically demonstrate this is in fact completely feasible. Using compute and networking available on Public Cloud as is, we realize an end-to-end operational telecom packet core delivering over 2 MPPS, ~20Gbps for 250K users, representing the network load of a Mobile Edge site. This paper re-thinks telecom core network capacity planning, addresses scale-up vs. scale out thresholds, details leveraging of Linux kernel advancements for compute and I/O efficiencies and provides a reference architecture for deployment of telecom core on Public Cloud.
公共云基础设施下电信核心网功能的扩展
电信网络,尤其是5G,是高性能网络基础设施的典型代表,具有非常高的数据速率和吞吐量。传统上,在电信网络中,高数据速率意味着线路速率。当链路容量增加到100 Gbit/s时,64字节的分组速率需要达到150 MPPS。试图提供这种高数据包速率的技术可以自由地使用专有硬件和应用程序增强的网络堆栈,从而提高了复杂性和成本。我们的方法挑战了以线路速率传输64字节数据包的需求,而是解决了在公共云中使用传统网络堆栈提供足够好的数据包处理能力的问题。我们探索了在公共云基础设施上部署运营电信核心网分组处理,并实证证明这实际上是完全可行的。使用公共云上可用的计算和网络,我们实现了端到端的运营电信分组核心,为250K用户提供2mpps,约20Gbps,代表移动边缘站点的网络负载。本文重新思考了电信核心网络的容量规划,解决了扩展与扩展的阈值,详细介绍了利用Linux内核在计算和I/O效率方面的进步,并为在公共云上部署电信核心提供了一个参考架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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