Analytical Modeling of End-to-End Delay in OpenFlow Based Networks
Analytical Modeling of End-to-End Delay in OpenFlow Based Networks
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DOI：
10.1109/access.2016.2636247
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发表时间：
2017
期刊：
影响因子：
3.9
通讯作者：
Azeem Iqbal;Uzzam Javed;Saad Saleh;JongWon Kim;Jalal S. Alowibdi;M. Ilyas
中科院分区：
文献类型：
--
作者：
Azeem Iqbal;Uzzam Javed;Saad Saleh;JongWon Kim;Jalal S. Alowibdi;M. Ilyas
支持OpenFlow的网络拆分并分离了传统网络的数据和控制平面。此设计使网络交换机商品化，并实现了对网络的集中控制。控制决策由OpenFlow控制器做出，并根据控制器的指示由交换机进行本地缓存。这可能会显著影响交换机中的数据包造成的转发延迟，因为控制器不一定与交换机位于同一位置。从端到端延迟的角度来评估OpenFlow的性能的研究非常少。在本文中，我们基于在三个不同的平台上进行的Internet规模的实验测量结果建立了OpenFlow交换机端到端延迟的随机模型。这些实验是在三个不同的平台上进行的，即Minnet、Geni TestBed和Of@TEIN Tested。
OpenFlow enabled networks split and separate the data and control planes of traditional networks. This design commodifies network switches and enables centralized control of the network. Control decisions are made by an OpenFlow controller, and locally cached by switches, as directed by controllers. This can significantly impact the forwarding delay incurred by packets in switches, because controllers are not necessarily co-located with switches. Only very few studies have been conducted to evaluate the performance of OpenFlow in terms of end-to-end delay. In this paper, we develop a stochastic model for the end to end delay in OpenFlow switches based on measurements made in Internet-scale experiments performed on three different platforms, i.e., Mininet, the GENI testbed, and the OF@TEIN testbed.