In this paper, we address the problem of defining probabilistic bounds of packet flow through an OpenFlow switch in software-defined networks (SDNs). The problem is challenging, as OpenFlow is one of the popular southbound application programming interfaces, which enables controller-switch interaction. The related existing literature addresses the different aspects of OpenFlow and SDN-controller interactions. However, there is a need to analyze the performance of the OpenFlow switch, in order to determine the bounds of the performance measures. In this paper, we propose Markov chain-based analytical model, named AMOPE, for analyzing packet flow through an OpenFlow switch, while defining the probabilistic bounds on performance analysis. Additionally, in AMOPE, we propose a state diagram based on the OpenFlow specification version 1.5.0, and calculate the theoretical probabilities of a packet to be in different states of the OpenFlow switch. Furthermore, AMOPE defines the theoretical bounds of OpenFlow performance measures such as the output action, packet drop, and send to the controller probabilities. Simulation-based analysis exhibits that approximately 60% of the processed packets are sent to output action, 31% of the processed packets are sent to the controller, and the remaining processed packets are dropped in an OpenFlow switch.

中文翻译：

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AMOPE：软件定义网络中OpenFlow系统的性能分析

在本文中，我们解决了通过软件定义网络（SDN）中的OpenFlow交换机定义数据包流的概率边界的问题。这个问题具有挑战性，因为OpenFlow是流行的南向应用程序编程接口之一，它可以实现控制器与交换机的交互。现有的相关文献涉及OpenFlow和SDN-控制器交互的不同方面。但是，有必要分析OpenFlow交换机的性能，以确定性能指标的范围。在本文中，我们提出了基于马尔可夫链的分析模型，称为AMOPE，用于分析通过OpenFlow交换机的数据包流，同时定义性能分析的概率边界。此外，在AMOPE中，我们建议基于OpenFlow规范版本1.5.0的状态图，并计算数据包处于OpenFlow交换机不同状态的理论概率。此外，AMEPE定义了OpenFlow性能度量的理论界限，例如输出动作，数据包丢失以及发送给控制器的概率。基于仿真的分析表明，大约60％的已处理数据包被发送到输出操作，31％的已处理数据包被发送到控制器，其余的已处理数据包被丢弃在OpenFlow交换机中。