Calculating System Health Metrics in Dynamic Environments

System Health management is increasingly impor-tant for distributed or remote systems management. While some System Health management techniques make inferences based on collected data, these inferences do not support situational awareness. This work presents a methodology and framework for calculating System Health, allowing for the separation of inference and health calculation, while still supporting the application of contextual information to System Health. This work explores this framework with a theoretical example, and application to real-world datasets. System Health largely depends on the weightings of components, which places importance on weight assignment.