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Dynamic OpenFlow-Based Lightpath Restoration in Elastic Optical Networks on the GENI Testbed

机译:在GENI测试平台上的弹性光网络中基于动态OpenFlow的光路恢复

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摘要

Elastic optical networking (EON), with its flexible use of the optical spectrum, is a promising solution for future metro/core optical networking. For the deployment of EON in a real-operational scenario, the dynamic lightpath restoration, driven by an intelligent control plane, is a necessary network function. Dynamic restoration can restore network services automatically and, thus, greatly reduce the operational cost, compared with traditional manual or semistatic lightpath restoration strategies enabled by network operators via a network management system. To this end, in this paper, we present an OpenFlow-enabled dynamic lightpath restoration in elastic optical networks, detailing the restoration framework and algorithm, the failure isolation mechanism, and the proposed OpenFlow protocol extensions. We quantitatively present the restoration performance via control plane experimental tests on the Global Environment for Network Innovations testbed.
机译:弹性光网络(EON)具有灵活使用光谱的特性,是未来城域/核心光网络的有希望的解决方案。为了在实际操作中部署EON,由智能控制平面驱动的动态光路恢复是必要的网络功能。与网络运营商通过网络管理系统启用的传统手动或半静态光路恢复策略相​​比,动态恢复可以自动恢复网络服务,从而大大降低了运营成本。为此,在本文中,我们提出了一种在弹性光网络中启用OpenFlow的动态光路恢复,详细介绍了恢复框架和算法,故障隔离机制以及拟议的OpenFlow协议扩展。我们通过在全球网络创新环境测试平台上进行的控制平面实验测试,定量地介绍了恢复性能。

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