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Fault tolerance is the ability of a system to maintain proper operation despite failures or faults in one or more of its components. This capability is essential for high-availability, mission-critical, or even life-critical systems. Fault tolerance specifically refers to a system's capability to handle faults without any degradation or downtime.
State machine replication. Appearance. In computer science, state machine replication (SMR) or state machine approach is a general method for implementing a fault-tolerant service by replicating servers and coordinating client interactions with server replicas. The approach also provides a framework for understanding and designing replication ...
A Byzantine fault is a condition of a system, particularly a distributed computing system, where a fault occurs such that different symptoms are presented to different observers, including imperfect information on whether a system component has failed. The term takes its name from an allegory, the "Byzantine generals problem", [ 1 ] developed ...
Consensus protocols are the basis for the state machine replication approach to distributed computing, as suggested by Leslie Lamport [2] and surveyed by Fred Schneider. [3] State machine replication is a technique for converting an algorithm into a fault-tolerant, distributed implementation.
Application checkpointing. Checkpointing is a technique that provides fault tolerance for computing systems. It involves saving a snapshot of an application 's state, so that it can restart from that point in case of failure. This is particularly important for long-running applications that are executed in failure-prone computing systems.
Self-stabilization is a concept of fault-tolerance in distributed systems. Given any initial state, a self-stabilizing distributed system will end up in a correct state in a finite number of execution steps. At first glance, the guarantee of self stabilization may seem less promising than that of the more traditional fault-tolerance of ...
Distributed computing is a field of computer science that studies distributed systems, defined as computer systems whose inter-communicating components are located on different networked computers. [ 1 ][ 2 ] The components of a distributed system communicate and coordinate their actions by passing messages to one another in order to achieve a ...
Consensus (computer science) A fundamental problem in distributed computing and multi-agent systems is to achieve overall system reliability in the presence of a number of faulty processes. This often requires coordinating processes to reach consensus, or agree on some data value that is needed during computation.