👉 Jump computing, also known as event-driven computing or reactive computing, is a paradigm that focuses on processing data as events occur rather than in fixed time intervals. In this model, computation is triggered by specific events or changes in data, allowing the system to respond dynamically and efficiently to real-time inputs. This approach contrasts with traditional batch processing, where data is collected and processed in large chunks at scheduled times. By reacting instantly to events, jump computing optimizes resource utilization, reduces latency, and enhances the system's ability to handle unpredictable or rapidly changing data streams, making it particularly useful in applications such as IoT, real-time analytics, and interactive systems.
