Machine Code Instruction Matching for Faster Memory Dump Diagnosis
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Solution Overview
Problem
Existing techniques for analyzing operating system memory dumps are inefficient and ineffective in diagnosing and resolving computer system problems, particularly in identifying the cause of system failures and assigning appropriate developers for error resolution.
Innovation Solution
A method that involves obtaining a memory dump, generating trace information to identify the failing instruction, extracting machine code instructions preceding the failure, removing data parts, and comparing these operations to reference memory dumps to identify similarities, thereby facilitating efficient assignment of developers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual analysis methods are used for memory dumps, then detailed inspection is possible, but analysis time is excessive and efficiency is low
Solution Approach 1:
The patent replaces manual mechanical analysis of memory dumps with an automated computer-based system that extracts machine code instructions, generates trace information, and compares memory dumps using algorithms. This substitution of manual inspection with automated processing directly reduces analysis time while maintaining or improving detection accuracy through systematic computational approaches.
Solution Approach 2:
The system performs self-service by automatically analyzing memory dumps without requiring continuous human intervention. The automated extraction of instructions, generation of trace information, and comparison with reference memory dumps enable the system to independently identify failure causes and assign developers, significantly reducing the time investment required from analysts.
2Measurement precision
If comprehensive memory dump analysis is performed, then accurate diagnosis is achieved, but processing complexity increases
Solution Approach 1:
The patent extracts only the critical components from comprehensive memory dumps - specifically machine code instructions and trace information - for analysis. By isolating and focusing on these essential elements rather than processing the entire memory dump in detail, the system achieves accurate diagnosis while reducing processing complexity to manageable levels.
Solution Approach 2:
The analysis process is segmented into distinct manageable steps: extracting machine code instructions, generating trace information, comparing with reference memory dumps, and identifying similarity values. This segmentation breaks down the complex diagnosis task into sequential operations that can be performed systematically with reduced overall complexity.
3Measurement precision
If detailed instruction extraction is performed, then accurate failure identification is achieved, but data processing volume increases
Solution Approach 1:
The system extracts only the necessary machine code instructions and trace information from the memory dump, filtering out redundant data. This selective extraction maintains the accuracy of failure identification by preserving critical instructions while significantly reducing the overall data processing volume compared to analyzing every detail of the memory dump.
Solution Approach 2:
The patent applies local quality by focusing analysis on specific local regions of the memory dump - namely the machine code instructions and trace information surrounding the failure point. This localized approach ensures accurate failure identification without requiring processing of the entire memory dump, thereby reducing data processing volume.
Data Source
AI summary
Embodiments of the present disclosure provide methods, systems, and computer program products for analyzing and matching similarity of operating system memory dumps to assign a developer for a given error event causing a computing failure. A disclosed embodiment includes generating trace information of the memory dump to identify an instruction causing the system failure and a memory location of the instruction; extracting a plurality of machine code instructions preceding the instruction causing the system failure based on the memory location, and removing a data part and not operations of the instructions being executed, from the plurality of machine code instructions. In addition, a list of operations of the machine code instructions is generated and compared to a plurality of reference memory dumps to identify similarity values of the plurality of reference memory dumps to the memory dump.