👉 Path computing is a distributed computing paradigm that focuses on the movement and interaction of data and tasks across multiple interconnected devices or nodes, rather than relying on centralized servers. In this model, computation is not confined to a single location but is spread out across various points in the network, often including edge devices like smartphones, IoT sensors, and local servers. Data flows along predefined paths or routes, which are dynamically determined based on factors like network congestion, latency, and device capabilities. This approach enables efficient resource utilization, reduced latency, and enhanced scalability, making it particularly suitable for applications requiring real-time processing, such as autonomous vehicles, smart cities, and augmented reality. By leveraging the collective power of distributed nodes, path computing optimizes performance and ensures robustness in complex, dynamic environments.
