Java Heap Segmentation for Small and Large Object Areas
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Solution Overview
Problem
Java Virtual Machine (JVM) performance is degraded due to frequent garbage collection and fragmentation in the Java heap, leading to increased allocation costs and overhead, as the JVM manages a single contiguous memory space for objects of varying sizes without efficient organization.
Innovation Solution
The JVM allocates a memory heap with separate small and large object areas growing in opposite directions, using a predetermined allocation policy to manage object allocation, compaction, expansion, and shrinkage independently, reducing garbage collection overhead and fragmentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single contiguous memory space is used for all objects, then memory allocation is simple, but fragmentation occurs leading to frequent garbage collection and degraded performance
Solution Approach 1:
The patent divides the Java heap into separate small object area and large object area. This segmentation prevents fragmentation from affecting the entire heap, reducing garbage collection frequency and improving JVM performance while maintaining manageable complexity through organized memory regions.
2Reliability
If frequent garbage collection is performed to clean unreferenced objects, then memory is freed for continued allocation, but allocation cost increases due to heap fragmentation
Solution Approach 1:
By segmenting the heap into small and large object areas, the patent isolates fragmentation effects to individual regions. This allows garbage collection to operate more efficiently on smaller, less fragmented areas, reducing the time cost of allocation while maintaining memory availability through targeted cleanup operations.
3Productivity
If heap compaction is performed to reduce fragmentation, then allocation efficiency improves, but the expensive compaction process degrades overall performance
Solution Approach 1:
The patent reduces the need for frequent heap compaction by segmenting the heap into small and large object areas. Each segment can be managed independently, preventing system-wide fragmentation and reducing allocation efficiency losses without requiring expensive full-heap compaction operations, thereby improving overall performance.
4Quantity of substance
If the Java heap grows to maximum size to accommodate allocated objects, then object allocation capacity increases, but memory fragmentation increases leading to more frequent cleanup operations
Solution Approach 1:
By dividing the heap into small and large object areas, the patent enables independent management of each segment's growth and fragmentation. This allows the heap to grow to maximum capacity while maintaining lower fragmentation levels in each segment, reducing garbage collection frequency despite increased object storage capacity.
Data Source
AI summary
A memory heap is allocated to a contiguous range of memory. One end of the heap is designated as a small object area. The other end of the heap is designated as a large object area. When the two object areas grow, the small object area grows inward within the heap toward the large object area, and the large object area grows inward within the heap toward the small object area.