Parallel Compressed Memory Dumps for Large VAS Debugging
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Solution Overview
Problem
Generating dump files for modern systems with large memory footprints is challenging due to their size and time requirements, leading to significant downtime in server processes.
Innovation Solution
The use of compressed memory dump apparatuses that leverage parallel processing and compression techniques to create smaller, faster dump files by grouping memory regions into fixed-size buckets and using lossless algorithms like LZ4 for compression, writing to disk efficiently, and maintaining metadata for retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full dump files are created to capture complete memory snapshots, then debugging completeness is improved, but file size and generation time increase significantly
Solution Approach 1:
The patent segments the memory dump into multiple fixed-size buckets (e.g., 4KB each) and processes them in parallel. Each bucket is independently compressed and written to disk, allowing the dump generation to be divided into concurrent tasks that reduce overall generation time while maintaining complete memory coverage.
Solution Approach 2:
The patent applies lossless compression algorithms (such as LZ4) to transform the memory data, changing its physical representation without losing any information. This compression reduces file size and accelerates I/O operations, thereby reducing generation time while preserving debugging completeness.
2Reliability
If full dump files are created to capture complete memory snapshots, then debugging completeness is improved, but storage requirements increase
Solution Approach 1:
The patent applies lossless compression algorithms (such as LZ4) to transform the memory data, changing its physical representation without losing any information. This compression reduces file size and accelerates I/O operations, thereby reducing generation time while preserving debugging completeness.
3Productivity
If parallel processing is used to speed up dump file generation, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent segments the memory dump into multiple fixed-size buckets (e.g., 4KB each) and processes them in parallel. Each bucket is independently compressed and written to disk, allowing the dump generation to be divided into concurrent tasks that reduce overall generation time while maintaining complete memory coverage.
Solution Approach 2:
The patent creates a unified parallel processing framework that handles multiple memory buckets simultaneously using the same compression and writing logic. This multi-functional approach increases productivity while managing complexity through standardized processing routines applied across all buckets.
Data Source
AI summary
According to examples, a compressed memory dump apparatus generates one or more compressed dump files from a virtual address space (VAS) of a target process. Memory regions identified from the VAS are grouped into memory buckets so that a memory bucket includes respective memory regions. Parallel threads are spawned to execute parallel dumping operations. The parallel dumping operations include reading the memory regions, compressing the memory buckets to generate compressed chunks, and writing the compressed chunks to the dump files. A compressed memory dump parser module can be used to retrieve the original memory content from the compressed dump files.