Data Fusion

Overview

The Data Fusion service aggregates data from multiple sources and aligns them by time, creating coherent time-synchronized datasets for downstream processing. When multiple data feeds provide information about the same network elements, Data Fusion combines them into unified records that represent the best available information at each point in time.

The service handles scenarios where different data sources update at different frequencies, have varying levels of accuracy, or provide complementary information. It applies fusion logic to merge these inputs into consistent datasets, which are then consumed by the Metrics Service, frontend displays, and other platform components.

Related Services

• Data Transformer — Provides normalized data inputs for fusion
• Experiment Manager — Data coordination and serving
• Metrics Service — Consumes fused data for metric calculation
• Session Manager — Manages fusion pod scaling and spatial tile assignment