Research on QoE based on Timeout Mechanism Improvement in SDN

SHI Da-ya; YU Geng

doi:10.13756/j.gtxyj.2018.04.003

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Research on QoE based on Timeout Mechanism Improvement in SDN

- Research on QoE based on Timeout Mechanism Improvement in SDN
- Study on Optical communication Issue 4, Pages: 10-13(2018)
- 作者机构：
  
  1. 福州理工学院工学院
  2. 福建工程学院国脉信息学院
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2018.04.003
  CLC： TP393.02
- Published：2018，
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[1]施达雅,余庚.SDN中基于超时机制改善的QoE研究[J].光通信研究,2018(04):10-13.

SHI Da-ya, YU Geng. Research on QoE based on Timeout Mechanism Improvement in SDN. [J]. (4):10-13(2018)
[1]施达雅,余庚.SDN中基于超时机制改善的QoE研究[J].光通信研究,2018(04):10-13. DOI： 10.13756/j.gtxyj.2018.04.003.

SHI Da-ya, YU Geng. Research on QoE based on Timeout Mechanism Improvement in SDN. [J]. (4):10-13(2018) DOI： 10.13756/j.gtxyj.2018.04.003.

摘要

随着大数据在软件定义网络（SDN）上的融合应用

网络因无法实时更新流表而导致数据流失效等一系列用户体验（QoE）问题逐渐呈现。为此

文章构思一种在具有突发特性的负载环境下基于停滞超时优化处理的算法

用于提升OpenFlow交换机流表资源可用性。该算法通过动态均衡流表资源和控制资源以及合理设置停滞超时来使数据流与流表项顺利适配

进而提高数据流转发效率。同时

算法将那些与数据流成功适配的流表项封存在流表中

有效地提升了流表在时间上的生存性。实验表明

算法中的停滞超时改善机制在QoE方面较固定停滞超时机制有明显的优化效果。

Abstract

With the integration of big data in the Software Defined Network（SDN）network applications

a series of Quality of Equipment（QoE）problems are emerging gradually

such as data flow failure which is caused by failure to update the flow table in real time.In order to solve this issue

this paper proposes an algorithm based on stagnation timeout optimization to enhance the availability of OpenFlow switch table resource in a burst load environment.The algorithm can make the data stream and the flow item match smoothly

and then improve the efficiency of data stream forwarding through dynamic balance table flow resource

control resources

and reasonable setting timeout.At the same time

the algorithm seals the flow table entries that are successfully matched with the data flow in the stream table

and effectively improve the survivability of the flow table in time.Experimental results show that the stopping timeout improvement mechanism in the algorithm is more effective than the fixed timeout mechanism in terms of QoE.

关键词

软件定义网络用户体验资源超时数据流

Keywords

SDNQoEresourcetimeoutdata flow

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