👉 Bridge computing is an innovative approach that leverages the distributed nature of cloud computing and edge computing to create a more efficient, scalable, and responsive computing infrastructure. It involves connecting various cloud services, edge devices, and data centers through a robust network to form a cohesive ecosystem capable of handling diverse computational tasks. This model allows for dynamic resource allocation, where workloads can be seamlessly shifted between edge devices, cloud servers, and other resources based on real-time demands, optimizing performance and reducing latency. Bridge computing enhances data processing capabilities by integrating local data processing at the edge with centralized cloud resources, enabling applications like real-time analytics, IoT management, and AI-driven services to operate more effectively. By bridging these computing paradigms, it offers a flexible and resilient framework that supports the growing complexity and scale of modern computational needs.