Description: Adaptive Fault Tolerance is a crucial mechanism in consensus algorithms that allows a system to distribute its decision-making capacity resiliently in the face of failures or errors. This approach is based on the premise that, in a distributed environment, it is inevitable for some nodes to fail or behave erratically. Adaptive Fault Tolerance enables the system to dynamically adjust its behavior and decisions based on the availability and state of participating nodes. This is achieved through the implementation of protocols that can detect failures and reconfigure to maintain data consistency and integrity. The main characteristics of this mechanism include self-adjustment capability, real-time failure detection, and network reconfiguration to ensure that consensus is reached despite adversities. The relevance of Adaptive Fault Tolerance lies in its ability to guarantee service continuity and reliability of distributed systems, which is fundamental in critical applications across various sectors, including banking, healthcare, and telecommunications, where data loss or service interruption can have severe consequences.
