👉 Collector computing is a distributed computing paradigm where multiple nodes, often referred to as collectors or data gatherers, work together to aggregate and process large volumes of data from various sources. These collectors collect data from diverse inputs, such as sensors, databases, or user interactions, and then transmit this data to a central processing unit or a designated node for further analysis. This approach is particularly useful in scenarios where data is generated at high velocity and volume, making it impractical to process everything locally. By distributing the workload across multiple nodes, collector computing enhances scalability, fault tolerance, and efficiency, allowing for real-time or near-real-time data processing and decision-making.
