👉 Spreading computing, also known as decentralized or distributed computing, is a paradigm where computational tasks are distributed across multiple interconnected devices rather than being handled by a single centralized system. This approach leverages the collective power of numerous, often low-cost devices such as smartphones, tablets, and IoT gadgets, to perform complex computations more efficiently and securely. By spreading the workload, it reduces the burden on any single device, enhances privacy by minimizing data centralization, and improves fault tolerance. Instead of relying on a central server, tasks are divided among the network, allowing for parallel processing and real-time data analysis. This method is particularly beneficial in scenarios requiring high computational power, such as big data analytics, machine learning, and real-time decision-making, while also promoting energy efficiency and reducing infrastructure costs.
