Mininet on steroids: exploiting the cloud for Mininet performance

G. Lena, Andrea Tomassilli, D. Saucez, F. Giroire, T. Turletti, C. Lac
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引用次数: 7

Abstract

Networks have become complex systems that combine various concepts, techniques, and technologies. As a consequence, modelling or simulating them is now extremely complicated and researchers massively resort to prototyping techniques. Among other tools, Mininet is the most popular when it comes to evaluate SDN propositions. It allows to emulate SDN networks on a single computer. However, under certain circumstances experiments (e.g., resource intensive ones) may overload the host running Mininet. To tackle this issue, we propose Distrinet, a way to distribute Mininet over multiple hosts. Distrinet uses the same API than Mininet, meaning that it is compatible with Mininet programs. Distrinet is generic and can deploy experiments in Linux clusters or in the Amazon EC2 cloud. Thanks to optimization techniques, Distrinet minimizes the number of hosts required to perform an experiment given the capabilities of the hosting infrastructure, meaning that the experiment is run in a single host (as Mininet) if possible. Otherwise, it is automatically deployed on a platform using a minimum amount of resources in a Linux cluster or with a minimum cost in Amazon EC2.
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Mininet的类固醇:利用云为Mininet的性能
网络已经成为结合各种概念、技术和技术的复杂系统。因此,建模或模拟它们现在非常复杂,研究人员大量求助于原型技术。在其他工具中,Mininet是评估SDN提案时最受欢迎的工具。它允许在一台计算机上模拟SDN网络。然而,在某些情况下,实验(例如,资源密集型实验)可能会使运行Mininet的主机过载。为了解决这个问题,我们提出了Distrinet,一种在多个主机上分发Mininet的方法。Distrinet使用与Mininet相同的API,这意味着它与Mininet程序兼容。Distrinet是通用的,可以在Linux集群或Amazon EC2云中部署实验。由于采用了优化技术,在给定托管基础设施的能力的情况下,Distrinet将执行实验所需的主机数量最小化,这意味着如果可能的话,实验在单个主机(如Mininet)上运行。否则,它会自动部署到一个平台上,在Linux集群中使用最少的资源,或者在Amazon EC2中使用最少的成本。
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