Resilient Multi-CDN Delivery Model Using AI-Based Traffic Switching for Global AEM Deployments
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V5I3P119Keywords:
Multi-CDN, AI-Based Routing, AEM, Content Delivery Networks, Latency Optimization, Fault Tolerance, Predictive Switching, Traffic Engineering, Global Delivery, Web PerformanceAbstract
Fast and uninterrupted content delivery is a must-have for modern digital experiences all over the world. However, organizations that are more reliant on Adobe Experience Manager (AEM) have been reported to experience regional performance variations, CDN outages, traffic spikes as well as complex routing rules, which in turn make their traditional multi-CDN setups brittle and reactive. Instead, it constantly updates its knowledge from real-time telemetry that includes latency trends, throughput changes, error rates, geographic traffic patterns, and CDN health signals so that it can foresee degradation and reroute users to the best-performing CDN without any intervention. The approach leverages anomaly detection, reinforcement learning, and predictive modeling along with AEM’s dispatcher and edge-layer configuration to coordinate smart, policy-compliant routing decisions that do not interfere with content workflows. The results from the simulations and controlled experiments demonstrate that the strategy drastically lowers the failover time, enhances the global time-to-first-byte (TTFB), and makes the user experience more stable during peak loads or CDN disruptions. Besides that, the AI layer exhibits the capability of optimizing cost-performance trade-offs by distributing the traffic selectively depending on contract thresholds and regional performance insights. The research also sheds light on architectural issues such as the model being at the edge, safe-rollback mechanisms, governance controls, and integration with existing CDN APIs. In essence, the suggested model gives a realistic and future-ready route to enterprises with AEM as a means to elevate their resilience level, have more performance consistency, and gain greater operational efficiency in their multi-CDN ecosystems thus, enabling the transition from a reactive stance to an intelligent, automated, and continuously improving delivery framework.
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