Storage Volume Deduplication Grouping by OS Type
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Solution Overview
Problem
The existing data storage systems face significant challenges in efficiently configuring deduplication groups to maximize data compression, as the calculation of all possible grouping patterns is computationally intensive and burdensome, leading to a heavy processing load.
Innovation Solution
A management apparatus that determines the OS type and version of each volume and groups volumes with shared OS types and versions together for deduplication, optimizing the configuration of deduplication groups to enhance compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If all possible grouping patterns for deduplication groups are simulated to maximize compression effect, then the compression ratio is improved, but the processing load and calculation amount increase enormously
Solution Approach 1:
The patent segments the deduplication group configuration process by classifying volumes based on OS type and version attributes. Instead of evaluating all possible grouping patterns, the system divides volumes into categories (e.g., Windows Server 2012, Linux Ubuntu 14.04) and performs deduplication within each category. This segmentation reduces the search space from exponential to linear complexity while maintaining high compression ratios by grouping volumes with similar data characteristics.
2Manufacturing precision
If volumes are grouped by OS type and version for deduplication, then compression efficiency is improved, but the device complexity increases due to additional classification requirements
Solution Approach 1:
The system automatically collects OS type and version information from each volume without requiring manual input or complex external classification mechanisms. The storage device itself performs the classification by reading volume metadata and organizing volumes into deduplication groups based on their OS attributes. This self-service approach minimizes external complexity while achieving efficient grouping.
Data Source
AI summary
A management apparatus, which is configured to manage at least one storage system, includes a processor and a memory. Each of the at least one storage apparatus includes a plurality of volumes, each of which stores at least one OS. The processor is configured to: determine, for each of the plurality of volumes, an OS type and version of a representative OS of the each of the plurality of volumes; select, from among the plurality of volumes, a plurality of volumes having representative OSes that share the same OS type and major version; and include the selected plurality of volumes in one deduplication group made up of volumes among which deduplication is to be executed.