AI & ML
Extended Version: Measuring the End-to-End Resilience of Application Deployments in Real-World Communication Networks with DRACO
arXiv cs.NI0 views
arXiv:2608.10611v2 Announce Type: replace Abstract: Billions of users take Internet connectivity for granted and use it daily to access applications deployed anywhere around the globe. What users perceive as a seamless connection between their end device and the application server involves a complex system of systems operated by various actors. Failures in any of these systems disrupt user-to-application connectivity if the communication network is not resilient. Since communication networks are a critical infrastructure as part of ICT, real-world operators rarely disclose information about them. This makes it difficult to measure the end-to-end resilience of deployments, because it requires guessing topologies and the availability of the involved systems. This paper presents DRACO, a framework for modeling communication networks and measuring end-to-end resilience of application deployments. It enables configuring application deployments across arbitrary communication networks and evaluating their availability, robustness, and resilience. We demonstrate the functional scope of DRACO by modeling nationwide application deployments in Germany and France, highlighting its compatibility with a wide variety of public data sources and synthetic data.
Source:https://arxiv.org/abs/2608.10611PreviousAgentic Peer-to-Peer Networks: From Content Distribution to Capability and Action SharingNextOptimizing Entanglement Distribution Protocols: Maximizing Classical Information in Quantum Networks
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