SeeDep: Deploying Reproducible Application Topologies on Cloud Platform

Cyril Séguin (1, 2, 3) , Eddy Caron (3) , Samuel Dubus (4)

1 ENS de Lyon - École normale supérieure de Lyon
2 LIP - Laboratoire de l'Informatique du Parallélisme
3 AVALON - Algorithms and Software Architectures for Distributed and HPC Platforms
4 Bell Labs (Alcatel Lucent)

As part of the scientific method, any researcher should be able to reproduce the experimentation in order to not only verify the result but also evaluate and compare this experimentation with other approaches. The need of a standard tool allowing researchers to easily generate, share and reproduce experiments setup arises. In this paper, we present SeeDep, a framework aiming at being such a standard tool. By associating a generation key to a network experiment setup , SeeDep allows for reproducing network experiments independently from the used infrastructure.

Mots clés: Network Topology; Reproducibility; Cloud Deployment; Application Topology

Domaines: Informatique [cs]

Cyril Séguin, Eddy Caron, Samuel Dubus. SeeDep: Deploying Reproducible Application Topologies on Cloud Platform. CLOSER 2019 - 9th International Conference on Cloud Computing and Services Science, May 2019, Heraklion, Greece. pp.363-370, ⟨10.5220/0007721103630370⟩. ⟨hal-02119654⟩