Solid State Cache Index for Deduplicated Storage
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Solution Overview
Problem
Deduplicated storage systems face inefficiencies in locating data during backup and recovery operations due to the need to scan entire volumes for duplicate data segments, which wastes resources and reduces system performance.
Innovation Solution
A deduplicated storage system maintains an index using a hash table on a solid-state drive (SSD) that stores fingerprint/container associations, allowing for quick identification and retrieval of data segments by hashing fingerprints to identify corresponding hash buckets and storing container identifiers, with mechanisms for merging and scaling the index to optimize resource use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the deduplicated storage system scans entire volumes to locate data, then data can be found, but the time required increases significantly and system resources are wasted
Solution Approach 1:
The system creates a hash index of all data segments before actual backup or recovery operations. This preliminary indexing allows the system to quickly locate data segments by their hash values during subsequent operations, eliminating the need to scan entire volumes and significantly reducing data location time while improving overall system performance
2Speed
If the system stores fingerprint/container associations in an index, then data location speed improves, but the device complexity increases
Solution Approach 1:
The system extracts only the necessary information (fingerprint and container association) and stores it in a hash index structure. By taking out only the essential data elements needed for quick lookup and eliminating unnecessary details, the system achieves fast data location while keeping the index structure relatively simple and manageable
Solution Approach 2:
The system creates a copy of the data organization structure in the form of a hash index that mirrors the actual storage layout. This copying approach allows the system to query data location information without physically scanning the entire storage volume, improving speed while maintaining a manageable index structure that reflects the actual data organization
3Reliability
If the system writes data segments multiple times to ensure availability, then data reliability improves, but storage resources are wasted
Solution Approach 1:
The system performs deduplication analysis before writing data segments to storage. By checking the hash index beforehand to determine whether a data segment already exists, the system can skip writing duplicate segments and only write new unique data, ensuring data availability through proper deduplication while avoiding waste of storage resources on redundant copies
Data Source
AI summary
A method, article of manufacture, and apparatus for creating a fingerprint to container id index is discussed. The index may be stored in-memory, on disk, and on a solid-state device. The index may be used to quickly locate a container identifier given a data segment fingerprint.