Memory Allocation Violation Detection via Event Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional memory and disk allocation systems require extensive human analysis to identify and correct allocation errors, such as memory corruption and disk allocation violations, which are time-consuming and inefficient, especially with large and complex data volumes.
Innovation Solution
A method and system that monitor and visualize memory and disk block allocations over time, using a user interface to identify allocation violations, such as overlaps and double frees, and automatically generate notifications for correction, reducing unnecessary memory and disk usage and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated monitoring and visualization tools are implemented to track memory and disk block allocations, then error detection capability is improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary monitoring system that sits between the allocation operations and the actual memory/disk blocks. This intermediary layer tracks allocation events, maintains allocation maps, and detects violations without directly modifying the underlying allocation mechanisms, thereby improving detection capability while managing complexity through abstraction.
Solution Approach 2:
The patent creates a copy or representation of the allocation state through data structures such as allocation maps and event logs. Instead of directly analyzing the complex physical memory/disk state, the system monitors a simplified copy that mirrors the allocation relationships, making detection more manageable while preserving accuracy.
2Measurement precision
If detailed analysis of allocation data is performed to identify bugs and corruption, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent performs preliminary analysis by continuously tracking and recording allocation events as they occur, building up a complete allocation map before any corruption or bug manifests. This preliminary action ensures that when an error does occur, the analysis is already substantially complete, eliminating the need for time-consuming retrospective analysis of millions of transactions.
Solution Approach 2:
The patent replaces manual human analysis with automated computational analysis. The monitoring system uses algorithms to automatically detect allocation violations, identify corruption patterns, and pinpoint bugs, substituting the slow mechanical process of human review with fast automated computation while maintaining or improving analysis accuracy.
3Reliability
If continuous monitoring of block allocations is implemented to detect overlaps and corruption, then reliability is improved, but use of energy increases
Solution Approach 1:
The patent extracts only the essential allocation events and metadata needed for detection, rather than continuously processing all memory/disk operations. By filtering and selecting only relevant allocation events for monitoring, the system maintains high reliability for detecting actual corruption while reducing the energy burden of processing unnecessary data.
Solution Approach 2:
The patent changes the monitoring parameters from continuous full-state analysis to event-driven sampling at strategic points in the allocation lifecycle. By monitoring at key transition points (allocation, deallocation, access) rather than continuously, the system maintains detection capability while reducing processing energy consumption through parameter optimization.
Data Source
AI summary
One example method of operation may include identifying event block allocations of one or more of data memory and data storage allocations, assigning indicators to the event block allocations based one or more determined statuses associated with the event block allocations, populating a display interface with the event block allocations and the indicators, performing a trace event of the event block allocations, identifying a target event block allocation among the event block allocations, and creating a notification identifying an allocation violation based on the identified target event block allocation.