Hash-Based Storage Deduplication via Modular Architecture

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Solution Overview

Problem

Existing storage systems, particularly primary storage solutions, face challenges in scalability, performance, and efficiency due to their reliance on address-based mapping, which limits their ability to handle exponential data growth and results in increased costs, space, and power consumption, while also being unable to support content-based storage with its advantages such as deduplication and improved performance.

Innovation Solution

The implementation of a content-addressable storage (CAS) system using modular architecture with R-, C-, and D-modules, where data is mapped and managed based on its content through hashing, allowing for scalable, efficient storage and retrieval by avoiding duplicate writes and optimizing resource utilization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If address-based mapping is used in storage systems, then data retrieval is straightforward and compatible with application requirements, but storage capacity efficiency deteriorates due to duplicate block data occupying multiple instances

Engineering Contradiction:
Improvedata retrieval compatibilityVSAvoidstorage capacity efficiency
Core Design Contradiction:
Ease of operationVSQuantity of substance

Solution Approach 1:

The patent changes the mapping parameter from address-based to content-based (hash-based) mapping. Instead of storing data at predetermined addresses, the system computes a hash of the data content to determine storage location, enabling duplicate detection and deduplication while maintaining retrieval capability through the hash function.

Inventive Principle:
Principle #35Parameter changes

2Quantity of substance

If content-based storage is implemented, then storage capacity efficiency improves through deduplication, but system complexity increases due to hashing and metadata management requirements

Engineering Contradiction:
Improvestorage capacity efficiencyVSAvoidsystem complexity
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent segments the storage system into distinct functional modules: C-modules for data reception and hashing, D-modules for data storage and management, and R-modules for data retrieval. This segmentation distributes the complexity across specialized components, making the overall system more manageable despite the inherent complexity of content-based storage.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an address-to-hash table as an intermediary data structure that maps original data addresses to their corresponding hash values and storage locations. This intermediary simplifies the retrieval process by providing a direct lookup mechanism without requiring complex hash computation during data access.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Device complexity

If address-based mapping is used, then system architecture is simpler and more direct, but performance deteriorates during exponential data growth due to increased duplicate writes

Engineering Contradiction:
Improvesystem architecture simplicityVSAvoidperformance during data growth
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The patent performs preliminary hashing and duplicate detection before actual data writing occurs. By computing the hash of incoming data blocks and checking against existing hashes in the address-to-hash table, the system identifies duplicates in advance and avoids unnecessary write operations, improving performance during data growth phases.

Inventive Principle:
Principle #10Preliminary action

4Adaptability or versatility

If content-based storage with modular architecture is implemented, then scalability improves for handling exponential data growth, but data integrity challenges increase due to distributed module coordination requirements

Engineering Contradiction:
ImprovescalabilityVSAvoiddata integrity
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent implements feedback mechanisms where D-modules send acknowledgments to C-modules confirming successful data commitment, and R-modules verify data integrity during retrieval operations. This feedback loop ensures that distributed module coordination maintains data integrity even as the system scales to handle exponential data growth.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10152527B1Increment resynchronization in hash-based replication
Publication Date: 2018.12.11 EMC IP HLDG CO LLC
  • US10152527B1 patent drawing
  • US10152527B1 patent drawing
  • US10152527B1 patent drawing

AI summary

In one aspect, a method includes selecting a C-module; sending a write from a host to the selected C-module; selecting a D-module to commit a page related to the write; selecting a R-module to transmit data from the write to the target; writing the data from the write to target location; and writing the data to an address-to-hash table after acknowledgement that the data has been written to the target location and after the D-module acknowledges that the page is committed.