首页> 外文会议>IEEE International Conference on Smart Cloud >Adaptive Flow Admission Control in a Software-Defined Network
【24h】

Adaptive Flow Admission Control in a Software-Defined Network

机译:软件定义网络中的自适应流准入控制

获取原文

摘要

In this paper, we have followed the idea of exploiting the highly flexible architecture of Software-Defined Network (SDN) to provide an adaptive packet Flow Admission Control (FAC) system. Both Quality of Service (QoS) requirements of the packet flow and the current state and situation in the network are put under consideration when admission decisions are made. Furthermore, our proposed FAC monitors and dynamically adapts to the changes of network parameters such as bandwidth, delay, jitter, latency, and classification of traffics for better overall user experience. This paper finds ways to implement the proposed adaptive FAC for improved QoS using a custom built OpenFlow controller based on Floodlight in the production environment of GENI, a national testbed for innovative networking and distributed systems experiments. The experimental results indicate that the adaptive FAC delivers an improvement of up to 67% in comparison with the traditional FAC when unsatisfied user percentage is measured. Also, the adaptive FAC enhanced the average end-to-end delay and network resource (i.e. bandwidth) utilization by up to 30% and 50% respectively.
机译:在本文中,我们遵循了利用软件定义网络(SDN)的高度灵活的体系结构来提供自适应数据包流准入控制(FAC)系统的想法。制定接纳决策时,都会考虑数据包流的服务质量(QoS)要求以及网络中的当前状态。此外,我们提出的FAC可以监视并动态适应网络参数的变化,例如带宽,延迟,抖动,等待时间和流量分类,以提供更好的整体用户体验。本文找到了在GENI生产环境中使用基于Floodlight的定制OpenFlow控制器来实现拟议的自适应FAC来提高QoS的方法,GENI的生产环境是用于创新网络和分布式系统实验的国家测试平台。实验结果表明,当测量不满意的用户百分比时,与传统的FAC相比,自适应FAC的性能提高了67%。而且,自适应FAC分别将平均端到端延迟和网络资源(即带宽)利用率分别提高了30%和50%。

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