Real-Time Log Compression for Volatile Memory Constraints
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Computing systems face memory constraints due to log file compilation, leading to 'out of memory' errors and increased costs from using volatile RAM, which is expensive and limited in capacity.
Innovation Solution
A method and system for log compression that analyzes and compresses system logs in real-time during execution, identifying and discarding non-targeted data within the memory resource, allowing for continuous operation without filling volatile memory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If log files are compiled in volatile memory during operation execution, then complete log data is captured and available for analysis, but memory capacity is consumed leading to out of memory errors
Solution Approach 1:
The patent extracts only the essential and useful log data from the complete log, removing redundant information. This selective extraction maintains the reliability of log analysis by keeping critical data while significantly reducing the quantity of data stored in volatile memory, thereby preventing out of memory errors.
Solution Approach 2:
The patent applies different quality standards to different parts of the log data by identifying and retaining only the most relevant portions. Instead of treating all log data uniformly, it applies local quality filtering to preserve critical information while discarding less important data, optimizing the balance between data completeness and memory usage.
2Reliability
If volatile RAM capacity is increased to accommodate log files, then out of memory errors are prevented, but system cost increases
Solution Approach 1:
The patent changes the parameter of log data by transforming it into a compressed and filtered format that retains essential information while occupying less memory space. This parameter transformation allows the system to maintain stability with reduced memory capacity, avoiding the need for expensive RAM upgrades.
3Loss of information
If complete log data is retained in memory until operation completion, then full analysis capability is maintained, but memory resources are depleted
Solution Approach 1:
The patent continuously extracts and removes redundant log data during operation execution, keeping only the most relevant information in volatile memory. This extraction process prevents memory depletion while maintaining sufficient log information for effective analysis and debugging.
Solution Approach 2:
The patent implements a mechanism to discard redundant log data that is no longer needed for analysis while recovering and retaining critical information. This selective discarding and recovering process optimizes memory usage by continuously managing log data throughout the operation lifecycle.
Data Source
AI summary
Systems, apparatuses, and methods related log compression are described. In an example, a system log that identifies targeted data may be compiled in a memory resource during an execution of an operation using that memory resource. The system log may be analyzed utilizing a portion of the memory resource that would otherwise be available to be utilized in the execution of the operation. The system log may be compressed during the execution of the operation, the level or timing of such compression may be based on the analysis that occurs contemporaneous to or as a result of executing the operation. In some examples, compressing the system log may include discarding a portion of the system log. Compressing the system log may also include extracting the targeted data from the system log as the system log is being compiled and converting the extracted targeted data to structured data.