17932946. Intelligent healing of mainframe job errors simplified abstract (Bank of America Corporation)
Contents
- 1 Intelligent healing of mainframe job errors
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Intelligent healing of mainframe job errors - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
Intelligent healing of mainframe job errors
Organization Name
Inventor(s)
Syed Najumudeen of Hyderabad (IN)
Dalydas Karanath of Thrissur (IN)
Radhika Vinaikrishnan Nair of Thane (IN)
Intelligent healing of mainframe job errors - A simplified explanation of the abstract
This abstract first appeared for US patent application 17932946 titled 'Intelligent healing of mainframe job errors
Simplified Explanation
The abstract describes a system that detects and addresses failures in primary mainframe jobs by extracting error information, searching for corrective actions, and applying them based on a criticality index.
- The system includes a memory and a processor.
- The processor detects failed primary mainframe jobs and extracts error information.
- It searches the memory for corrective actions based on the error description.
- A criticality index relating to the primary mainframe job is obtained.
- If the criticality index is below a threshold, the processor applies the corrective actions and processes the failed job.
Potential Applications
This technology could be applied in various industries where mainframe systems are critical for operations, such as finance, healthcare, and telecommunications.
Problems Solved
1. Efficiently addressing failures in primary mainframe jobs. 2. Automating the process of identifying and applying corrective actions.
Benefits
1. Minimizing downtime and disruptions in mainframe operations. 2. Improving overall system reliability and performance. 3. Enhancing the efficiency of IT operations.
Potential Commercial Applications
Optimizing mainframe operations in large enterprises. Improving data processing and management in industries reliant on mainframe systems.
Possible Prior Art
One possible prior art could be automated error detection and correction systems in computer networks or server environments.
What are the potential security implications of implementing this technology?
Implementing this technology could raise security concerns if sensitive data related to mainframe operations is exposed during the error detection and correction process. It is crucial to ensure that proper security measures are in place to protect the confidentiality and integrity of the data.
How does this technology compare to existing mainframe error detection and correction systems?
This technology appears to offer a more automated and efficient approach to detecting and addressing errors in primary mainframe jobs compared to traditional manual methods or basic error detection systems. By utilizing a criticality index and predefined corrective actions, it streamlines the process and minimizes downtime in mainframe operations.
Original Abstract Submitted
A system includes a memory and a processor configured to detect that a primary mainframe job has failed, and extracts information related to the failed primary mainframe job, wherein the extracted information includes an error description of an error that caused the primary mainframe job to fail. The processor searches the memory based on the error description for a set of corrective actions corresponding to the error. In response to determining the set of corrective actions based on the search, the processor obtains a criticality index relating to the primary mainframe job. When the criticality index is lower than a criticality index threshold, the processor applies the set of corrective actions in relation to the failed primary mainframe job and processes the failed primary mainframe job after applying the set of corrective actions.
