Browsing by Author "Song, Q."
Now showing items 1-2 of 2
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Evaluation-oriented data-generating process for performance time series: the perturbation observation decoupling principle
(БНТУ, 2025)This work proposes the Perturbation-Observation Decoupling Principle: by decoupling structured perturbations – defined with precise temporalboundaries and semantic labels – from performance observation paths at the physical, logical, or resource level during the data generation process (DGP), our approach prevents signal contamination and ensures causal traceability. It establishes ...2026-01-23 -
The evolution of performance time series analyzability from application to interpretable evaluation
(БНТУ, 2025)Performance Time Series (PTS) are widely used to monitor system health, yet their analytical value is often limited by a lack of structured event records. This work argues that PTS analyzability is not an inherent property, but a progressive, human-curated and context-dependent property determined by the presence and richness of causal event annotations. We propose a three-level ...2026-01-23
