IO Descriptor Memory Space for Storage Systems
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Solution Overview
Problem
Rigid IO operations in data storage systems lead to complex and inefficient procedures, compromising the integrity of electronic content.
Innovation Solution
A computer-implemented method that processes IO requests by generating an IO descriptor defining a unique memory space for each IO processing routine, allowing for cancellation requests, status reporting, and releasing memory spaces, with included routines such as compression/decompression, deduplication, and zero detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If rigid IO operations are performed to maintain content integrity, then reliability is improved, but device complexity increases and productivity decreases
Solution Approach 1:
The patent segments the IO operation into multiple independent processing routines (compression/decompression, deduplication, zero detection) that can be selectively executed. Each routine operates independently on the IO descriptor, allowing the system to maintain integrity checks while avoiding unnecessary complex procedures for simple operations.
Solution Approach 2:
The patent implements dynamic IO processing where the system adapts the processing routine execution based on real-time conditions. The IO descriptor dynamically tracks which routines have been executed, and the system can dynamically cancel or skip routines based on data characteristics (e.g., skipping compression if data is already compressed or is zero-filled).
2Reliability
If multiple IO processing routines are executed to ensure data processing completeness, then reliability is improved, but productivity decreases due to inefficient operation
Solution Approach 1:
The patent performs preliminary analysis of the IO request characteristics before executing processing routines. The system pre-evaluates whether compression, deduplication, or zero detection is necessary based on the IO descriptor information, avoiding unnecessary routine execution and improving overall processing efficiency while maintaining completeness where needed.
Solution Approach 2:
The patent changes operational parameters dynamically based on data characteristics. For example, if zero detection identifies that data contains only zeros, the system changes the processing parameters to skip compression and deduplication routines, significantly improving productivity while maintaining data integrity through the zero detection check.
3Reliability
If memory space is allocated for each IO processing routine to ensure proper data handling, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent implements a universal IO descriptor structure that serves multiple functions across different processing routines. The same IO descriptor is used for compression, deduplication, and zero detection routines, providing a unified memory interface that reduces overall memory management complexity while ensuring each routine has access to necessary data handling capabilities.
Solution Approach 2:
The patent implements efficient memory management where the unique memory space for each IO processing routine is released after use. The system allocates memory for the IO descriptor and processing routines only when needed, then recovers and releases this memory space after the IO operation completes, reducing overall memory footprint and simplifying memory management.
Data Source
AI summary
A method, computer program product, and computing system for receiving an IO request from a host concerning an IO operation to be performed on a data array. The IO request is processed to generate an IO descriptor. The IO descriptor defines a unique and proprietary memory space for each of a plurality of IO processing routines.