Why does this matter operationally?

Resilience

The capacity of a connectivity system to maintain acceptable service levels when components fail, links degrade, or conditions change unexpectedly. Resilient architectures use redundancy, failover paths, and graceful degradation to keep operations running when ideal conditions cannot be guaranteed.

427 terms

Fast Reroute Fast Reroute is a routing protection technique that switches traffic to a precomputed alternate path very quickly after a failure, designed to minimize disruption. Operations Fatigue Monitoring System A system that detects signs of operator drowsiness or impaired alertness in real time, commonly through computer-vision-based eye and facial monitoring, triggering an alert or intervention before fatigue-related performance degradation… Concept/Framework Fault Classification Fault Classification is the process of categorizing an observed fault condition into one of a defined set of fault classes so that a system or operator can apply the correct… Concept/Framework Fault Detection Fault detection is the operational and analytical process of determining that a system component, service, or asset is no longer behaving within expected limits. The output is an actionable indication… Operations Fault Detection And Isolation Fault Detection And Isolation is the process of identifying that a fault has occurred and determining where it is located or what component caused it. Operations Fault Management The operational practice of detecting, diagnosing, isolating, and resolving discrete failure events across a network or system, encompassing the workflow from initial fault detection through root cause diagnosis to remediation… Operations Fault Management System Fault Management System is the logic and supporting software that detects, isolates, and responds to faults within a platform or subsystem. Software Fault Tolerance Fault Tolerance is the ability of a system to continue operating correctly despite component failures or errors. Operations Federated Learning Federated Learning is a distributed machine learning training approach in which a shared model is trained collaboratively across multiple decentralized devices or sites, each using its own local data, with… Concept/Framework Feedforward Control Feedforward Control is a control approach that adjusts the system based on measured disturbances or expected changes before the output error becomes large. It works by anticipating the effect of… Operations