Self-modulation in a model-based automated management framework
US7444272B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 13, 2005 |
| Grant date | Oct 28, 2008 |
| Priority date | — |
| Expiry date | Oct 13, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B13/042
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Embodiments herein present a method, system, computer program product, etc. for automated management using a hybrid of prediction models and feedback-based systems. The method begins by calculating confidence values of models. Next, the method selects a first model based on the confidence values and processes the first model through a constraint solver to produce first workload throttling values. Following this, workloads are repeatedly processed through a feedback-based execution engine, wherein the feedback-based execution engine is controlled by the first workload throttling values. The first workload throttling values are applied incrementally to the feedback-based execution engine, during repetitions of the processing of the workloads, with a step-size that is proportional to the confidence values. The processing of the workloads is repeated until an objective function is maximized, wherein the objective function specifies performance goals of the workloads.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.