16.2. Active Integrated Fault Identification Framework
16.2.1. Background
Fault localization is a basic component in fault management systems, because it identifies the reason for the fault that can best explain the observed network disorders (namely, symptoms). Examples of fault symptoms include unreachable hosts or networks, slow response, high utilization, and so on. Most fault reasoning algorithms use a bipartite directed acylic graph to describe the symptom-fault correlation, which represents the causal relationship between each fault fi and a set of its observed symptoms Sfi [1]. Symptom-fault causality graphs provide a vector of correlation likelihood measures p(si|fi) to bind a fault fi to a set of its symptoms Sfi. Similarly, symptom-intrusion ...
Get Information Assurance now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
