Data Processing Issue Detection and User-Guided Remediation

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Solution Overview

Problem

Data processing systems often operate in undesirable conditions due to unaddressed issues, limiting their ability to provide desired computer-implemented services, leading to potential service delays or failures.

Innovation Solution

A system and method for automatic issue identification and user-guided remediation, utilizing interface data analysis, dynamic resolution synthesis, and probabilistic inferencing to generate remediation recommendations, followed by user interaction to address system issues and restore desirable operating conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Difficulty of detecting and measuring

If automatic issue identification is implemented, then issue detection capability is improved, but system complexity increases

Engineering Contradiction:

Improveissue detection capabilityVSAvoidsystem complexity

Core Design Contradiction:

Difficulty of detecting and measuringVSDevice complexity

Solution Approach 1:

The system performs self-diagnosis by automatically identifying issues impacting data processing services using interface data analysis and probabilistic inferencing, eliminating the need for external manual monitoring and reducing operational complexity despite increasing detection capability

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously monitors interface data and provides feedback about system status and potential issues, enabling automatic issue identification through iterative analysis of performance metrics and operational parameters

Inventive Principle:

Principle #23Feedback

2Reliability

If user-guided remediation process is implemented, then remediation effectiveness is improved, but time to resolve issues increases

Engineering Contradiction:

Improveremediation effectivenessVSAvoidtime to resolve issues

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of interface data to identify issues before they fully impact service delivery, enabling proactive remediation actions that prevent service degradation while maintaining user control over the resolution process

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The remediation process dynamically adapts to user input and system state, allowing flexible resolution paths that balance automated recommendations with user judgment, optimizing both effectiveness and time requirements

Inventive Principle:

Principle #15Dynamics

3Measurement precision

If dynamic resolution synthesis is implemented, then remediation recommendation accuracy is improved, but processing time increases

Engineering Contradiction:

Improveremediation recommendation accuracyVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs partial resolution synthesis by focusing computational resources on the most critical interface data elements and probabilistic factors, achieving sufficient accuracy for effective remediation without exhaustive analysis that would consume excessive time

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20250335289A1Automatic issue identification and user guided remediation

Publication Date: 2025.10.30 DELL PROD LP

AI summary

Methods, systems, and devices for managing a data processing system while mitigating down-time associated with addressing an identified issue of the data processing system. To manage the data processing system, an issue impacting the data processing system may be identified. Based on the identification of the issue, a dynamic resolution synthesis process may be performed to obtain at least one remediation recommendation. Based on the at least one remediation recommendation, a user guided remediation process may be performed to attempt to address the identified issue.