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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.
Software fault tolerance. Software fault tolerance is the ability of computer software to continue its normal operation despite the presence of system or hardware faults. Fault-tolerant software has the ability to satisfy requirements despite failures. [1][2] Following design patterns should be combined together to make the system more fault ...
In this diagram the router is a single point of failure for the communication network between computers. A single point of failure (SPOF) is a part of a system that, if it fails, will stop the entire system from working. [ 1 ] SPOFs are undesirable in any system with a goal of high availability or reliability, be it a business practice ...
Paxos (computer science) Paxos is a family of protocols for solving consensus in a network of unreliable or fallible processors. Consensus is the process of agreeing on one result among a group of participants. This problem becomes difficult when the participants or their communications may experience failures.
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 ...
e. In computer science, robustness is the ability of a computer system to cope with errors during execution [1][2] and cope with erroneous input. [2] Robustness can encompass many areas of computer science, such as robust programming, robust machine learning, and Robust Security Network. Formal techniques, such as fuzz testing, are essential to ...
Dependability. In systems engineering, dependability is a measure of a system's availability, reliability, maintainability, and in some cases, other characteristics such as durability, safety and security. [ 1 ] In real-time computing, dependability is the ability to provide services that can be trusted within a time-period. [ 2 ]
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.