Garbage Collection File Analysis for Java Memory Leak Detection
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Solution Overview
Problem
Existing tools for detecting memory leaks in Java-based systems are limited in their ability to identify and analyze memory leaks without requiring significant manual effort and system restarts, which can lead to system downtime and resource overhead, especially in 24/7 operations.
Innovation Solution
A memory leak inspector tool that analyzes garbage collection files by comparing histograms to identify objects associated with memory leaks, providing insights without restarting the system, and generating human-readable reports to pinpoint the source of memory leaks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional memory leak detection tools are used, then memory leaks can be identified, but system restarts are required causing downtime and resource overhead
Solution Approach 1:
The patent applies preliminary action by enabling memory leak detection through analysis of garbage collection files that are generated during normal system operation. The detection mechanism is prepared in advance and can analyze historical garbage collection data without requiring system restarts, thus identifying memory leaks while the system remains operational and avoiding downtime.
2Measurement precision
If profiling tools are used to monitor memory allocation, then memory leak detection is possible, but great amounts of system resources are consumed
Solution Approach 1:
The patent applies copying by analyzing copies of garbage collection files that are already generated during normal system operation. Instead of requiring additional profiling tools that consume system resources, the invention creates and analyzes copies of existing garbage collection logs, thereby enabling memory leak detection without imposing additional resource overhead on the running system.
3Measurement precision
If manual evaluation of code is performed to find memory leaks, then detailed analysis is possible, but insurmountable amounts of code must be manually evaluated
Solution Approach 1:
The patent applies intermediary by introducing an automated analysis mechanism that processes garbage collection files to identify memory leaks. This intermediary tool automatically analyzes the garbage collection data, extracts information about memory allocation patterns, and identifies potential memory leak sources, thereby eliminating the need for manual evaluation of large amounts of code and significantly reducing analysis time.
4Measurement precision
If server restarts are performed to use memory leak tools, then memory leak detection can occur, but system overhead increases and production is lost
Solution Approach 1:
The patent applies self-service by enabling the system to perform memory leak detection on itself through analysis of its own garbage collection files. The detection mechanism operates autonomously on existing system logs without requiring external intervention or system restarts, allowing the system to self-diagnose memory leaks while maintaining continuous operation and productivity.
Data Source
AI summary
A system method is provided to inspect memory leaks and analyze contents of garbage collection files. In one embodiment, a garbage collection file is selected from a plurality of garbage collection files at a file system. The garbage collection file includes histograms. Each histogram is compared with other histograms in the garbage collection file to identify objects associated with memory leaks The results of such comparison are provided.