RISK MITIGATION FOR CHANGE REQUESTS

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Emmanuel Yashchin of Yorktown Heights NY (US)

Nianjun Zhou of Chappaqua NY (US)

Jonathan D. Dunne of Dungarvan (IE)

Anuradha Bhamidipaty of Yorktown Heights NY (US)

RISK MITIGATION FOR CHANGE REQUESTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18189988 titled 'RISK MITIGATION FOR CHANGE REQUESTS

The patent application describes a method, system, and computer program product for predicting outage risks in a cloud environment and providing recommendations to mitigate these risks.

Receive change requests (CR) for modifications in a cloud environment.
Predict outage risks for the CR using a predictive machine learning model based on historical data and features.
Suggest recommendations to mitigate the outage risks for the CR in the cloud environment.
Utilize feature objects to separate factors related to the CR and the predicted environment at the scheduled CR execution time.
Consider dependencies on the features of other CRs in the queue.

Potential Applications: - Cloud service providers can use this technology to proactively identify and address potential outage risks in their environments. - IT departments can improve the reliability and stability of their cloud-based systems by implementing the recommendations provided by the system.

Problems Solved: - Helps prevent unexpected outages in cloud environments. - Enhances the overall performance and reliability of cloud-based systems.

Benefits: - Increases system uptime and availability. - Reduces the likelihood of service disruptions and downtime. - Improves overall user experience and customer satisfaction.

Commercial Applications: Title: Predictive Outage Risk Mitigation System for Cloud Environments This technology can be used by cloud service providers, IT departments, and businesses relying on cloud services to ensure the stability and reliability of their systems. It can help prevent costly downtime and enhance the overall performance of cloud-based applications.

Questions about Predictive Outage Risk Mitigation System for Cloud Environments: 1. How does the system determine outage risks in a cloud environment? The system uses a predictive machine learning model based on historical data and features to assess outage risks for change requests in the cloud environment.

2. What are the key benefits of implementing the recommendations provided by the system? Implementing the recommendations can help prevent unexpected outages, improve system reliability, and enhance overall user experience.

Original Abstract Submitted

A method, system, and computer program product that is configured to: receive at least one change request (CR) for a modification in a cloud environment; predict an outage risk for the at least one CR in the cloud environment using a predictive machine learning model which predicts based on historical data and historical features; and suggest at least one recommendation to mitigate the outage risk for the at least one CR in the cloud environment. In particular, embodiments are based on feature objects (or feature sets) (f, e), which are separation of factors pertaining to the CR and to a predicted environment at a currently scheduled CR execution time, as well as dependencies on the features of other CRs in the queue.