Description: A distributed consensus framework is a set of principles and practices that enables multiple nodes in a distributed system to agree on the state of shared information. This framework is essential in environments where communication between nodes may be unstable or where nodes may fail. Consensus algorithms are crucial for ensuring data consistency and integrity in systems such as distributed databases, blockchain networks, and distributed file systems. The main characteristics of a consensus framework include fault tolerance, resistance to manipulation, and the ability to scale as more nodes are added to the system. The relevance of these frameworks lies in their ability to allow decentralized systems to operate reliably, which is critical in applications where trust and security are paramount. In summary, a distributed consensus framework provides the necessary foundations for distributed systems to function effectively and efficiently, ensuring that all involved nodes have a coherent and up-to-date view of the system’s state.
