首页> 外文会议>International Symposium on Communication Systems, Networks Digital Signal Processing >Dynamic load-balanced path optimization in SDN-based data center networks
【24h】

Dynamic load-balanced path optimization in SDN-based data center networks

机译:基于SDN的数据中心网络中的动态负载平衡路径优化

获取原文

摘要

We propose a Dynamic Load-balanced Path Optimization (DLPO) algorithm which can suit for different SDN-based data center network topologies. The proposed DLPO changes paths of flows during flow transmissions, achieves load balancing among different links, and efficiently resolves the network congestion problem in SDN-based data center networks. We also propose a priority-based flow table updating strategy to ensure that flows of a congested path will be redirected to a light-loaded path as soon as all flow tables of the associated switches in the light-loaded path have been updated successfully so as to avoid packet loss caused by changing paths of flows. The proposed DLPO is composed of two algorithms, which are multi-link DLPO algorithm and single-link DLPO algorithm. The multi-link DLPO algorithm can balance link loads in a network quickly to resolve some congested paths and the single-link DLPO algorithm can reroute flows to avoid using links with large loads to resolve congested paths that the multi-link DLPO algorithm cannot handle. Simulation results show that, compared to LABERIO, the proposed DLPO increases 18.9% and 9.5% of throughput per flow and bandwidth utilization, respectively, in the fat-tree topology, and 24.8% and 8.3% in the fully populated topology, both under a hot-spot traffic pattern.
机译:我们提出了一种动态负载平衡路径优化(DLPO)算法,该算法可适合于不同的基于SDN的数据中心网络拓扑。提出的DLPO在流传输过程中改变流的路径,实现不同链路之间的负载平衡,并有效解决基于SDN的数据中心网络中的网络拥塞问题。我们还提出了一种基于优先级的流表更新策略,以确保一旦轻负载路径中的关联交换机的所有流表都已成功更新,则拥塞路径的流将被重定向到轻负载路径。避免由于流路径的改变而导致丢包。所提出的DLPO由两种算法组成,即多链路DLPO算法和单链路DLPO算法。多链路DLPO算法可以快速平衡网络中的链路负载以解决某些拥塞路径,而单链路DLPO算法可以重新路由流,以避免使用负载较大的链路来解决多链路DLPO算法无法处理的拥塞路径。仿真结果表明,与LABERIO相比,建议的DLPO在胖树拓扑中分别提高了每流吞吐量和带宽利用率的18.9%和9.5%,在完全填充拓扑中分别提高了24.8%和8.3%。热点交通模式。

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