CAR:云辅助路由

P. K. Dey, M. Yuksel
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引用次数: 4

摘要

我们提出了一种新的混合软件定义网络(SDN)方法,云辅助路由(CAR),它通过在本地路由器和远程云计算平台之间分离控制和数据平面功能来利用云服务的高计算和内存能力。我们的方法没有将两个平面完全分离,而是将大部分控制平面维护在云上,而将最少的控制平面维护在本地路由器上,数据平面反之亦然。我们提出了CAR的架构视图和使用CAR减少转发表大小的初始原型的结果。我们通过强调多云设计范例的用例来讨论可能的域内和域间优化,并在传统路由器与CAR之间进行成本比较,以确定使CAR具有经济效益的盈利率点和关键组件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CAR: Cloud-Assisted Routing
We propose a new hybrid software-defined networking (SDN) approach, Cloud-Assisted Routing (CAR), that utilizes high computation and memory power of cloud services by splitting both control and data plane functions between a local router and a remote cloud computing platform. Instead of a complete separation of the two planes, our approach maintains most of the control plane at the cloud and the least of it at the local router, and vice versa for the data plane. We present the architectural view of CAR and results from an initial prototype of forwarding table size reduction using CAR. We discuss possible intra- and inter-domain optimizations by highlighting the use-cases of multi-cloud design paradigm and perform a cost comparison between legacy router vs. CAR to identify the break-even points and key components that make CAR monetarily beneficial.
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