MACSAD:移动中的高性能数据平面应用程序

P. Patra, Christian Esteve Rothenberg, Gergely Pongrácz
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引用次数: 15

摘要

数据平面管道的深度可编程性是不断发展的软件定义网络(SDN)范式的原则之一。尽管最近在高性能可编程设备上做出了一些努力,但实现异构数据平面实现的完全可编程性(与协议无关)仍然面临许多挑战。P4语言正在成为一种强有力的自顶向下方法,用于描述与协议无关、与网络平台无关的数据路径管道。同时,OpenDataPlane (ODP)项目遵循一种开源的、自下而上的方法,寻求多架构api来编写与平台无关的数据平面应用程序。在本文中,我们提出了用于抽象数据平面的多架构编译器系统(MACSAD)作为一种方法,通过一个通用的编译过程来融合P4和ODP,在不影响目标性能改进的情况下提供数据平面应用程序的可移植性。我们通过在不同目标平台(×86, ×86+DPDK, ARM-SoC)上对L2和L3数据平面应用程序进行实验评估来验证我们的原型实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MACSAD: High performance dataplane applications on the move
Deep programmability of dataplane pipelines is one of the tenets of the evolving Software Defined Networking (SDN) paradigm. Despite recent efforts on high performance programmable devices, achieving fully programmability (protocol independent) of heterogeneous dataplane implementations still pose numerous challenges. The P4 language is emerging as a strong candidate top-down approach to describe a protocol independent datapath pipeline, agnostic to network platforms. Meanwhile, the OpenDataPlane (ODP) project follows an open-source, bottom-up approach seeking multi-architecture APIs to write platform independent dataplane applications. In this paper, we present Multi-Architecture Compiler System for Abstract Dataplanes (MACSAD) as an approach to converge P4 and ODP through a common compilation process delivering portability of dataplane applications without compromising target performance improvements. We validate our prototype implementation through experimental evaluation of L2 and L3 dataplane applications on different target platforms (×86, ×86+DPDK, ARM-SoC).
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