Multilayer Network Resilience Analysis and Experimentation on GENI

Justin P. Rohrer
Egemen K. Çetinkaya, Missouri University of Science and Technology
James P. G. Sterbenz

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GENI is evolving to provide a promising environment in which to do experimental research in the resilience and survivability of future networks, by allowing programmable control over topology and mechanism, while providing the scale and global reach needed to conduct network experiments far beyond the capabilities of a conventional testbed. We will use GENI in general, and the GpENI infrastructure (expanding to 40 clusters with 200 nodes worldwide), federated with the larger GENI PlanetLab control framework and interconnected to several ProtoGENI facilities to perform resilience and survivability experiments at scale, both in terms of node count and with the geographic scope needed to emulate rea-based challenges such as large-scale disasters. Furthermore, we will use these experiments to cross-verify with analytical and simulation-based resilience research currently underway at The University of Kansas leveraging topology and challenge generation tools (KU-LoCGEN and KU-CSM) developed for this purpose, with emphasis on resilience metrics and multi-path multi-realm diverse transport developed as part of our NSF FIND research.