Estimating server-change risk by corroborating historic failure rates, predictive analytics, and user projections
US10084645B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 30, 2015 |
| Grant date | Sep 25, 2018 |
| Priority date | — |
| Expiry date | Jan 18, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/149
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A method and associated systems for predicting a degree of risk associated with a planned change to a computer server or other electronic component. A computerized change-management system receives Probability and Impact inputs derived from user-derived input, from which it determines a Baseline risk of change failure. The system processes mined data to determine an historic change-failure rate as a function of a type of change, and computes a predictive incident probability based on a predictive analytics engine's forecast of whether a particular type of server will be problematic. The system then computes a final Change Risk by adjusting the Baseline risk as a function of the historic change-failure rate, the predictive incident-probability, and a Baseline-specific weighting factor. If the resulting Change Risk is judged to be elevated, the system initiates collateral actions and notifications intended to reduce the probability and impact of a change failure.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.