👉 Subsidiary computing refers to the integration and coordination of computing resources across multiple interconnected systems or devices, often forming a network or cluster. This approach allows for the sharing of processing power, storage, and data between different computing units, such as servers, edge devices, and IoT gadgets. By leveraging this interconnectedness, secondary computing enhances overall system efficiency, scalability, and performance, enabling tasks like distributed data processing, real-time analytics, and improved fault tolerance. It plays a crucial role in modern computing environments, especially in scenarios where centralized systems would be inadequate due to limitations in resources or geographical constraints.
