👉 Sides computing refers to the process of distributing computational tasks across multiple computing nodes or devices to enhance performance, efficiency, and scalability. In distributed systems, where data and processing tasks are spread across various machines, sides computing involves offloading specific computations to these peripheral nodes, often referred to as "sides." This approach is particularly useful in scenarios where centralized processing might become a bottleneck due to high data volumes or complex computations. By leveraging the additional computational power and storage capacity of these peripheral nodes, sides computing enables parallel processing, reduces latency, and improves overall system throughput. It is commonly used in cloud computing, big data analytics, and machine learning applications to handle large-scale tasks more effectively.
