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Conference Papers Year : 2019

Mininet on steroids: exploiting the cloud for Mininet performance


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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hal-02362997 , version 1 (14-11-2019)


  • HAL Id : hal-02362997 , version 1


Giuseppe Di Lena, Andrea Tomassilli, Damien Saucez, Frédéric Giroire, Thierry Turletti, et al.. Mininet on steroids: exploiting the cloud for Mininet performance. CloudNet 2019 - IEEE International Conference on Cloud Networking, Nov 2019, Coimbra, Portugal. ⟨hal-02362997⟩
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