Editing Introduction to Edge Computing (section)

===1.4.3 Edge Cloud ===
The edge cloud paradigm combines traditional cloud computing with edge computing in a federated or hybrid architecture. It enables dynamic resource sharing between cloud data centers and edge infrastructure, offering the best of both worlds: centralized power and local responsiveness. Edge cloud systems support elasticity, scalability, and fault tolerance while minimizing latency. This paradigm is especially relevant for large-scale applications that require real-time responsiveness with centralized oversight, such as smart city infrastructure, telemedicine, and distributed AI models. The edge cloud facilitates efficient load balancing, allowing tasks to be executed wherever it’s most optimal based on conditions like network congestion, location, and data urgency.