首页> 外文会议>IEEE International Conference on Smart Grid Communications >Recovery from link failures in a Smart Grid communication network using OpenFlow
【24h】

Recovery from link failures in a Smart Grid communication network using OpenFlow

机译:使用OpenFlow从智能电网通信网络中的链路故障恢复

获取原文

摘要

In this paper, we design and evaluate algorithms for fast recovery from link failures in a smart grid communication network, addressing all three aspects of link failure recovery: (a) link failure detection, (b) algorithms for computing backup multicast trees, and (c) fast backup tree installation. To address (a), we design link-failure detection and reporting mechanisms that use OpenFlow to detect link failures when and where they occur inside the network. OpenFlow is an open source framework that cleanly separates the control and data planes for use in network management and control. For part (b), we formulate a new problem, Multicast Recycling, that computes backup multicast trees that aim to minimize control plane signaling overhead. We prove Multicast Recycling is at least NP-hard and present a corresponding approximation algorithm. Lastly, two control plane algorithms are proposed that signal data plane switches to install pre-computed backup trees. An optimized version of each installation algorithm is designed that finds a near minimum set of forwarding rules by sharing rules across multicast groups, thereby reducing backup tree install time and associated control state. We implement these algorithms in the POX OpenFlow controller and evaluate them using the Mininet emulator, quantifying control plane signaling and installation time.
机译:在本文中,我们设计和评估了智能电网通信网络中的链路故障的快速恢复算法,解决了链路故障恢复的所有三个方面:(a)计算备份组播树的链路故障检测,(b)算法,( c)快速备份树安装。要解决(a),我们设计使用OpenFlow以检测网络内部发生时的链路故障检测链路故障检测和报告机制。 OpenFlow是一个开源框架,可清晰地将控制和数据平面分隔在网络管理和控制中。对于部分(b),我们制定了一个新的问题,多播回收,计算备份组播树,其旨在最小化控制平面信令开销。我们证明多播回收是至少NP - 硬并呈现相应的近似算法。最后,提出了两个控制平面算法,即信号数据平面切换以安装预先计算的备份树。设计每个安装算法的优化版本,通过共享多播组共享规则,从而设计了一组近的最小转发规则集,从而减少了备份树安装时间和相关的控制状态。我们在POX OpenFlow控制器中实现了这些算法,并使用MinInet仿真器进行评估,量化控制平面信令和安装时间。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号