👉 Round computing is an approach to distributed computing where the goal is to achieve a consistent state across multiple nodes in a network by ensuring that any operation performed on the data is treated as a single, indivisible unit. This means that every read operation returns the most recent version of the data, and every write operation updates all replicas in the system to reflect the same changes. In practical terms, round computing often involves periodic synchronization or consensus algorithms like Paxos or Raft to maintain data consistency, even though it can introduce latency and reduce availability compared to eventual consistency models. This approach is particularly useful in systems where strong consistency is critical, such as financial transactions or real-time applications.
