👉 Log computing, also known as log computation or log-based computation, is a computational paradigm where the primary data structure used for storing intermediate results is a sequence of logs rather than traditional data structures like arrays or lists. In this approach, each operation on the data produces a log entry that records the input values, operations performed, and resulting state. These logs are then processed in a specific order to reconstruct the final result, often using techniques like log replay or log reduction. This method is particularly useful in distributed systems because it allows for efficient fault tolerance, as logs can be stored and replayed to recover from failures without needing to recompute the entire computation from scratch. Log computing simplifies debugging, enhances scalability, and provides a robust mechanism for handling errors and maintaining consistency across distributed nodes.
