论文标题
在网络函数中集成硬件数据平面加速度虚拟化
Towards integrating hardware Data Plane acceleration in Network Functions Virtualization
论文作者
论文摘要
本文提出了一个在网络函数虚拟化（NFV）体系结构中集成数据平面（DP）加速的框架。数据平面编程（DPP）被证明对NFV环境有益，因为它通过使用自设计的算法提供了完整的数据包转发灵活性。此外，DPP提供高性能网络，因为可以将DP配置为在专用硬件上执行特定功能。我们在ETSI NFV体系结构中介绍了DP加速度的集成，该架构利用使用P4语言在硬件开关中实现的自定义DP功能。此外，OpenStack和Kubernetes被用作虚拟化基础架构经理（VIMS）和开源Mano（OSM）作为管理和编排（Mano）元素。
This paper proposes a framework for integrating data plane (DP) acceleration within the Network Functions Virtualization (NFV) architecture. Data plane programming (DPP) proves to be beneficial for NFV environments, as it provides full packet forwarding flexibility through the use of self-designed algorithms. Additionally, DPP provides high-performance networking, as the DP can be configured to execute specific functions on dedicated hardware. We present an integration of the DP acceleration within the ETSI NFV architecture that leverages custom DP functions implemented in hardware switches using P4 language. Besides, OpenStack and Kubernetes are used as Virtualized Infrastructure Managers (VIMs) and Open Source MANO (OSM) as the Management and Orchestration (MANO) element.
