Dynamically adjusting tracing decisions based on the collected monitoring data
US12430223B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 8, 2024 |
| Grant date | Sep 30, 2025 |
| Priority date | — |
| Expiry date | Apr 14, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/865
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An embodiment includes detecting an application availability metric and a performance data metric of a system by a Tracing Policy Analyzer, responsive to detecting the application availability metric and the performance data metric, training a Bayesian optimization model of the Tracing Policy Analyzer based on the application availability metric and the performance data metric where the Bayesian optimization model outputs an optimal tracing policy. The embodiment includes detecting the optimal tracing policy by a Tracing Level Determination Module of an application of the system, responsive to detecting the optimal tracing policy, computing a computed tracing level by the Tracing Level Determination Module executing a k-nearest neighbors algorithm based on the optimal tracing policy. The embodiment also includes tracing of the application of the system by a Tracer based on the computed tracing level.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.