Cloud World Model
Cloud simulation glossary
Definitions of cloud world model, pre-provision simulation, simulated chaos versus production fault injection, and multi-cloud cost and latency simulation.
Cloud world model
A computational representation of cloud resources and their behavior over successive actions and time steps. In CWM, resources, traffic and failure events form a virtual state; stepping produces modeled metrics rather than observed telemetry from a newly provisioned environment.
Pre-provision simulation
Testing a hypothetical infrastructure configuration before deploying its resources. It can help compare alternatives and expose assumptions cheaply, but it is not a guarantee of live cost, latency or reliability.
Simulated chaos versus production fault injection
Simulated chaos changes a virtual environment to estimate its response to failures. Production fault injection deliberately perturbs real services under controlled conditions. AWS FIS, for example, documents experiments against AWS resources. A virtual result is a hypothesis to validate, not proof of production resilience.
Multi-cloud cost and latency simulation
Evaluating modeled deployment strategies across providers using workload assumptions and cost/latency objectives. Inputs such as traffic, region and service mapping matter; a ranked strategy is not an invoice or a production latency measurement.
RL environment and episode
A training interface linking a policy's action to the next modeled state and reward. An episode is a sequence of steps ending under a configured limit or reset. Always validate a trained policy outside the simulation before using it to control real infrastructure.