论文标题

迈向可编程数据平面设备的抽象模型

Toward an Abstract Model of Programmable Data Plane Devices

论文作者

Robin, Debobroto Das, Khan, Javed I.

论文摘要

SDN将网络格局分为2个部分:控制和数据平面。 SDN从基于OpenFlow的高度灵活控制平面和刚性数据平面开始扩展了其脚标记。硬件设计和开发的创新和改进正在为数据平面带来各种新的架构。数据平面变得比以往任何时候都更加可编程。需要在这些异质数据平面设备上开发复杂应用的通用抽象模型。它还可以提供有关可编程数据平面设备的性能优化和基准标记的洞察力。此外,要了解和利用数据平面的可编程性,需要进行详细的结构分析和可识别的矩阵来比较不同的设备。在这项工作中,提出了可编程数据平面设备的改进和结构化的抽象模型,并详细讨论了其组件的功能。还根据这些功能比较了几种市售的可编程数据平面设备。

SDN divides the networking landscape into 2 parts: control and data plane. SDN expanded it's foot mark starting with OpenFlow based highly flexible control plane and rigid data plane. Innovation and improvement in hardware design and development is bringing various new architectures for data plane. Data plane is becoming more programmable then ever before. A common abstract model of data plane is required to develop complex application over these heterogeneous data plane devices. It can also provide insight about performance optimization and bench-marking of programmable data plane devices. Moreover, to understand and utilize data plane's programmability, a detailed structural analysis and an identifiable matrix to compare different devices are required. In this work, an improved and structured abstract model of the programmable data plane devices is presented and features of its components are discussed in detail. Several commercially available programmable data plane devices are also compared based on those features.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源