Description: The ‘Snapshot Consensus’ is a consensus algorithm designed to allow multiple nodes in a distributed system to agree on a snapshot of the system’s state at a given moment. This type of consensus is crucial in environments where data consistency and synchronization are essential, such as in distributed databases and file systems. Unlike other consensus algorithms that may require multiple rounds of communication to reach an agreement, Snapshot Consensus aims to optimize this process by allowing nodes to agree on a specific state more efficiently. This is achieved by collecting state information from each node and comparing this data to determine a consensus on the snapshot. The main features of this algorithm include its ability to handle node failures, its efficiency in communication, and its adaptability to different network architectures. The relevance of Snapshot Consensus lies in its application in systems that require high availability and consistency, where the ability to quickly agree on a common state is fundamental to system performance and integrity.
