The Research on Flow Table Optimization Based on Dynamic Timeout Mechanism

2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI:10.1109/ICPDS47662.2019.9017185

Zhaohui Ma, Gansen Zhao, Chengchuang Lin, Haoyu Luo, Yuanfu Zhong, Shuangyin Li, Qinglan Wu, Zefeng Mo, Zanbo Zhang

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引用次数: 1

Abstract

SDN(Software Defined Networking) is a new network architecture, which decouples the control plane from data plane and operates the globle network with elaborate abstraction. The control plane advocates a centralized approach of network control, which provides both flexibility and high efficiency. However, there are lots of problems in this architecture and the bottleneck problem is the network's performance. Existing OpenFlow based flow expiry mechanisms relys on a fixed timeout after which the switch proactively removes the flow entries from its flow table which may causes unnecessary flow table occupation. Therefore, in this paper, a strategy of dynamically adjusting timeout time is proposed and the program is implemented. It can dynamically adjust the timeout time according to the actual situation of equipment and data flow, and can better adapt to the network with different data flows. The experiment shows that the strategy can improve the network's performance and the mechanism designed in this paper is proved to be effective.

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基于动态超时机制的流表优化研究

软件定义网络(SDN, Software Defined Networking)是一种新的网络体系结构，它将控制平面与数据平面解耦，以精细的抽象来操作全局网络。控制平面采用集中式网络控制方式，既灵活又高效。然而，这种体系结构存在很多问题，瓶颈问题是网络的性能。现有的基于OpenFlow的流过期机制依赖于一个固定的超时，在这个超时之后，交换机主动从其流表中删除流条目，这可能会导致不必要的流表占用。为此，本文提出了一种动态调整超时时间的策略，并实现了该方案。它可以根据设备和数据流的实际情况动态调整超时时间，能够更好地适应不同数据流的网络。实验表明，该策略可以提高网络的性能，本文设计的机制是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2019 IEEE International Conference on Power Data Science (ICPDS)

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