VTOC Index Anomaly Detection for DASD Failure Prevention
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Solution Overview
Problem
Existing DASD storage systems face issues with VTOC index anomalies leading to application outages, transactional processing failures, and performance degradation, which are difficult to identify and correct, especially in large configurations with thousands of volumes.
Innovation Solution
An approach that automatically identifies and corrects anomalies in the Volume Table of Contents (VTOC) index, including disabled indexes, incorrect volume sizes, inadequate free space, and potential space issues, using customer-specified parameters for automated actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a VTOC index is used to improve data set location speed, then productivity is improved, but anomalies can occur in the indexed VTOC leading to system failures
Solution Approach 1:
The patent implements automated monitoring and analysis of VTOC index health status, continuously detecting anomalies such as disabled indexes, incorrect volume sizes, and inadequate free space. The system provides feedback to storage administrators about the state of VTOC indexes across thousands of DASD volumes, enabling proactive identification and correction of issues before they cause system failures.
Solution Approach 2:
The patent enables automated self-diagnosis and self-correction capabilities for VTOC index anomalies. The system can automatically detect problems, analyze their root causes, and implement corrections without requiring manual intervention from storage administrators, allowing the system to serve and protect itself against index-related failures.
2Reliability
If manual identification and correction of VTOC anomalies is performed, then reliability can be maintained, but extensive time is required especially in large configurations with thousands of volumes
Solution Approach 1:
The patent replaces manual mechanical processes of identifying and correcting VTOC anomalies with an automated computer-based system. The automated system scans, analyzes, and corrects VTOC index issues across thousands of DASD volumes without requiring storage administrators to manually examine each volume, dramatically reducing the time required while maintaining or improving reliability.
Solution Approach 2:
The patent performs preliminary detection and analysis of VTOC index anomalies before they can cause system failures. By proactively identifying issues such as disabled indexes, incorrect volume sizes, and space problems in advance, the system allows for corrective action to be taken before anomalies impact system reliability, reducing both downtime and the complexity of emergency repairs.
3Reliability
If the operating system disables the VTOC index to prevent anomalies, then reliability is improved, but performance degradation occurs as tasks are slower without the index
Solution Approach 1:
The patent implements continuous monitoring of VTOC index health status, providing feedback to the operating system and storage administrators about the reliability of the index. When the index is healthy, the system confirms its continued use for optimal performance. When anomalies are detected, the system provides feedback enabling corrective action to restore index functionality, thus maintaining both reliability and performance.
Solution Approach 2:
The patent enables the VTOC index system to self-diagnose and self-correct anomalies, allowing the index to remain enabled and functional without requiring disabling for safety. The automated system protects the index against failures while it remains operational, eliminating the need to trade performance for reliability through index disabling.
Data Source
AI summary
An approach is disclosed that identifies an anomaly in a Volume Table of Contents Index (VTOC Index) that is associated with a Direct Access Storage Device (DASD) Volume Table of Contents (VTOC) that corresponds to a DASD. The approach operates to automatically correct the VTOC Index based on the identified anomaly.