Compact Type Format Encoding for Kernel Data Structure Compression
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Solution Overview
Problem
Current systems for debugging and analyzing Unix kernel and user applications face inefficiencies due to irreversibly encoded data structures, leading to performance degradation and the need for manual, duplicative extraction processes.
Innovation Solution
A compact encoding system, known as Compact Type Format (CTF), automatically generates and extracts data structure information during compilation, reducing duplication and enabling efficient debugging and analysis by providing a mechanism for encoding and accessing this information within kernel and user applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If data structure information is encoded in kernel modules and system libraries, then debugging and analysis capabilities are improved, but system performance degrades due to the size and duplication of encoded data
Solution Approach 1:
The encoded data structure information is segmented into two parts: a compact type format (CTF) section containing the actual type information, and a separate debugging/analysis tool that processes this information. This segmentation allows the kernel to store only essential type metadata while external tools perform the heavy lifting of analysis, thus improving debugging capability without degrading system performance.
Solution Approach 2:
The patent extracts data structure information from the kernel's internal representation and encodes it in a compact format that can be separately processed. By taking out the encoding and analysis processes from the kernel's execution path, the system maintains debugging capabilities while avoiding performance degradation from processing large amounts of encoded data during runtime.
2Difficulty of detecting and measuring
If special-purpose extraction programs are written to analyze data structures, then data structure analysis is enabled, but the system complexity increases and maintenance becomes difficult
Solution Approach 1:
The compact type format (CTF) encoder is designed as a universal tool that can extract and encode data structure information from any kernel module or system library. This single multi-functional encoder replaces the need for multiple special-purpose extraction programs, each tailored to specific data structures. The CTF format itself is universal, capable of representing various data structure types through a standardized encoding scheme, thus reducing system complexity while maintaining comprehensive analysis capability.
3Extent of automation
If data structure encoding is included in kernel modules, then automatic extraction is improved, but the size of kernel modules increases significantly
Solution Approach 1:
The patent changes the parameters of data structure representation by encoding them in a compact type format (CTF) that uses efficient data structures and compression techniques. Instead of storing full data structure definitions, the CTF format stores only essential metadata such as type names, offsets, and structural relationships in a highly compressed form. This parameter change allows automatic extraction and analysis while keeping the encoded information size minimal, thus improving automation without significantly increasing kernel module size.
Data Source
AI summary
A data type encoding and compression system for a computer system is described. The encoding and compression system encodes and compresses programming language data structure and data type information for use in a kernel, system program or user application. The encoded and compressed data structure and data type information is generated using an encoding called compact type format (CTF). The data encoding and compression system includes merging logic that identifies common data structures within object files used to generate a given kernel module, system program or user application. Data structures common to a parent and a given child module are removed from the child module, during the merging process, and replaced by links from the child to the parent, thereby reducing the total size of the CTF data.