Adaptive Garbage Collection Triggering for Memory Management
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Solution Overview
Problem
Traditional garbage collection schemes face challenges in balancing memory recycling frequency with application throughput and real-time requirements, as fixed free memory thresholds can lead to either excessive garbage collection or memory exhaustion, especially in multi-core systems where concurrency is essential.
Innovation Solution
Adaptive garbage collection is implemented by dynamically adjusting the free memory threshold based on observed memory allocation rates and drops, using average and standard deviation calculations to identify significant increases in allocation rates, thereby modifying the threshold to initiate garbage collection promptly and prevent memory exhaustion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If garbage collection is triggered frequently to prevent memory exhaustion, then memory availability is improved, but application throughput decreases due to increased CPU time spent on garbage collection
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed free memory threshold to a dynamic threshold that adapts based on observed memory allocation rates. The threshold is adjusted upward when allocation rates are low and downward when allocation rates are high, allowing the system to prevent memory exhaustion while minimizing unnecessary garbage collection operations that would reduce application throughput.
Solution Approach 2:
The patent changes the parameter of the garbage collection trigger threshold from a fixed value to a variable value that depends on memory allocation rate conditions. By monitoring allocation rates and adjusting the threshold parameter accordingly, the system optimizes the balance between maintaining memory availability and preserving application throughput.
2Productivity
If garbage collection is triggered infrequently to maintain application throughput, then CPU time for application execution is improved, but post time increases and memory may be exhausted
Solution Approach 1:
The system dynamically adjusts the garbage collection trigger threshold based on real-time memory allocation rate observations. When allocation rates are high, the threshold is lowered to trigger garbage collection sooner, preventing memory exhaustion. When allocation rates are low, the threshold is raised to allow less frequent garbage collection, maintaining higher application throughput.
Solution Approach 2:
The patent implements feedback by continuously monitoring memory allocation rates and using this information to adjust the garbage collection trigger threshold. This closed-loop control ensures that the system responds to changing memory conditions, maintaining reliability by preventing memory exhaustion while optimizing for application throughput.
3Quantity of substance
If a fixed free memory threshold is set high to prevent memory exhaustion, then memory availability is improved, but garbage collection is invoked too often during periods of slow consumption
Solution Approach 1:
The patent changes the threshold parameter from fixed to variable based on memory allocation rate conditions. During periods of slow memory consumption, the observed low allocation rate causes the threshold to be adjusted upward, allowing less frequent garbage collection and maintaining higher application throughput while still preventing memory exhaustion.
4Productivity
If a fixed free memory threshold is set low to reduce garbage collection frequency, then application throughput is improved, but memory may be exhausted before garbage collection is performed
Solution Approach 1:
The patent adjusts the threshold parameter dynamically based on memory allocation rate observations. When high memory allocation rates are detected, the threshold is lowered to trigger garbage collection sooner, preventing memory exhaustion. This adaptive approach maintains application throughput during normal conditions while ensuring reliability during high-stress periods.
Data Source
AI summary
Methods and apparatus are provided for adaptively triggering garbage collection. During relatively steady or decreasing rates of allocation of free memory, a threshold for triggering garbage collection is dynamically and adaptively determined on the basis of memory drops (i.e., decreases in free memory) during garbage collection. If a significant increase in the rate of allocation of memory is observed (e.g., two consecutive measurements that exceed a mean rate plus two standard deviations), the threshold is modified based on a memory drop previously observed in conjunction with the current memory allocation rate, or a memory drop estimated to be possible for the current allocation rate.