基于sdn的空间与地面网络集成的虚拟数据平面寻址

Gao Zheng, Ning Wang, R. Tafazolli, Xinpeng Wei, Jinze Yang
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引用次数: 1

摘要

近年来,将低地球轨道卫星与地面网络基础设施相结合以支持无处不在的互联网服务覆盖的研究势头日益增强。一个明显的挑战是低轨道卫星星座行为引起的频繁拓扑变化。在软件定义网络(SDN)的背景下,原本需要控制地面SDN交换机完成的传统数据平面的控制器功能将需要扩展其职责,以覆盖空间中的对应方,即用于数据转发的LEO卫星。因此,地面固定控制平面与低轨道星座卫星实现的移动数据平面的无缝融合将成为一个明显的挑战。在本文中,我们提出了虚拟数据平面寻址(VDPA)方案,利用IP地址来表示固定空间位置的虚拟交换机,这些虚拟交换机由嵌套的LEO卫星以可预测的方式周期性地进行实例化。利用该方案,可以使低轨卫星星座引起的数据平面网络拓扑变化与地面控制平面完全不可知,从而可以采用一种原生方法来支持两平面之间的无缝通信。基于实验平台的实验结果证明了所提出的基于vdpa的流规则操作机制在数据面性能方面的技术可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Virtual Data-Plane Addressing for SDN-based Space and Terrestrial Network Integration
Integrating Low Earth Orbit (LEO) satellites with terrestrial network infrastructures to support ubiquitous Internet service coverage has recently received increasing research momentum. One distinct challenge is the frequent topology change caused by the constellation behaviour of LEO satellites. In the context of software defined networking (SDN), the controller function that is originally required to control the conventional data plane fulfilled by terrestrial SDN switches will need to expand its responsibility to cover their counterparts in the space, namely LEO satellites that are used for data forwarding. As such, seamless integration of the fixed control plane on the ground and the mobile data plane fulfilled by constellation LEO satellites will become a distinct challenge. In this paper, we propose the Virtual Data-Plane Addressing (VDPA) Scheme by leveraging IP addresses to represent virtual switches at the fixed space locations which are periodically instantiated by the nested LEO satellites traversing them in a predictable manner. With such a scheme the changing data-plane network topology incurred by LEO satellite constellation can be made completely agnostic to the control plane on the ground, thus enabling a native approach to supporting seamless communication between the two planes. Our testbed-based experiment results prove the technical feasibility of the proposed VDPA-based flow rule manipulation mechanism in terms of data plane performance.
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