👉 Belts computing is an innovative approach to data management and processing that leverages a hierarchical, distributed architecture of computational units called "belts." These belts are specialized nodes designed to handle specific types of data or tasks, ranging from low-level data processing and storage to more complex analytics and machine learning. Each belt operates autonomously, yet collaboratively, with data flowing through them in a sequential or parallel manner depending on the requirements. This structure allows for efficient, scalable, and flexible data handling, as belts can be added, removed, or reconfigured based on workload demands. By distributing processing tasks across multiple belts, systems can achieve higher performance, better fault tolerance, and reduced latency, making belts computing particularly suitable for applications requiring real-time processing, high throughput, and dynamic resource allocation.
