Abstract
Independent random sampling of different data types in large-scale applications can make it difficult to analyze correlations between separate events because the data points are often collected independently. The disclosed method provides a system for coordinated data sampling that can be managed by a client-side library. Designated 'data provider' events, such as a page load, may trigger a temporary 'coordinated mode' based on a configurable sample rate. When this mode is active, multiple, distinct 'data consumer' points across the application lifecycle can be instructed to log their granular data for a given session. When not in coordinated mode, these data points can revert to their standard random sampling behavior. This approach can facilitate the selective collection of related data streams for detailed correlation analysis, while operating in parallel with random sampling used for generating general metrics.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Obbard, Theodore and Phillips, David, "Coordinated Data Collection for Event Correlation Analysis", Technical Disclosure Commons, (September 04, 2025)
https://www.tdcommons.org/dpubs_series/8546