Markov Chains for Fault-Tolerance Modeling of Stochastic Networks

• Published in: IEEE transactions on automation science and engineering Vol. 19; no. 3; pp. 1 - 16
• Main Authors: Meyers, Adam, Yang, Hui
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Availability; Combinatorial analysis; Computation; Computational modeling; Connectivity; Electric power grids; Erbium; Failure prevention; Fault tolerance; Fault tolerant systems; Internet of Things; Markov analysis; Markov chain; Markov chains; Markov processes; Mean time to failure; Measurement; Network design; Network reliability; Network topologies; Nodes; Percolation theory; Phase transitions; random graph; Recovery; Reliability engineering; Seizures; Size effects; stochastic network (SN); time-varying network

Most real-world networks are time-varying, and many are subject to the stochastic functioning of their nodes and edges. Examples can be seen in the human brain undergoing an epileptic seizure, spontaneous infection and recovery in epidemics, and intermittent functioning of devices in the Internet of...