Abstract

This study investigated how decentralized edge-cloud networks with AI-driven management can revolutionize real-time systems. We introduce an innovative framework that employs artificial intelligence to create self-governing, flexible cloud-edge structures capable of enhancing the workload and performance across IoT, 5G, and future network technologies [1]. The proposed system boosts efficiency through dynamic resource allocation and task processing between edge devices and the cloud infrastructure. We demonstrate how this method significantly enhances privacy by reducing data transmission and enabling local computation. The scalability of our approach was assessed through simulations and real-world applications, demonstrating its capacity to manage increasing network complexity and data volumes. Our research suggests that AI-managed decentralized edge-cloud networks provide considerable improvements in response time, energy conservation, and overall system effectiveness compared with conventional centralized architectures.