Adaptive Remembered Set Data Structure for Garbage Collection
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Solution Overview
Problem
Generational garbage collection systems face inefficiencies in managing remembered sets, particularly in tracking references across different generations of heap memory, leading to increased garbage collection time and memory usage, which can violate service level agreements and affect application performance.
Innovation Solution
The system adapts remembered set data structures on-the-fly by tracking characteristics of the executing application thread and storage limitations, allowing for dynamic configuration of remembered set data structures to optimize memory use, reduce access latency, and meet changing service level agreements and memory constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a remembered set data structure is used to track references in generational garbage collection, then garbage collection time is reduced by avoiding traversal of entire heap memory, but memory usage increases due to storing reference information
Solution Approach 1:
The patent applies dynamics by making the remembered set data structure adaptive and changeable during runtime. The system dynamically adjusts the structure based on observed reference patterns, transitioning between different organizational forms (e.g., from fine-grained to coarse-grained structures) to optimize the balance between garbage collection speed and memory consumption based on current workload characteristics
2Quantity of substance
If the remembered set data structure is configured for high storage efficiency, then memory usage is reduced, but access latency increases leading to slower garbage collection
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting structural parameters of the remembered set data structure. The system modifies parameters such as card size, organization level, and storage density based on runtime conditions, allowing it to switch between configurations that prioritize memory efficiency versus those that prioritize fast access during garbage collection operations
3Device complexity
If a fixed remembered set data structure configuration is used, then implementation simplicity is maintained, but adaptability to changing application behavior and service level agreements is reduced
Solution Approach 1:
The patent transforms the static remembered set configuration into a dynamic system that automatically adapts to changing conditions. The garbage collector monitors application behavior patterns and service level agreement requirements, then adjusts the remembered set structure accordingly, providing both simplicity through automation and adaptability through runtime reconfiguration
Data Source
AI summary
Techniques for on-the-fly adaptation of remembered set data structures are disclosed. Operations include initiating execution of an application thread and a garbage collection process for a heap memory including a first plurality of logical partitions, wherein each logical partition of the first plurality of logical partitions is associated with a remembered set data structure. While the application thread and the garbage collection process are executing, the system determines a set of characteristics. Based on the set of characteristics meeting threshold criteria for adjusting a first remembered set data structure corresponding to a first logical partition, the system identifies a first remembered set configuration corresponding to the first remembered set data structure, creates a replacement remembered set data structure based on the first remembered set configuration, and associates the replacement remembered set data structure with the first logical partition.