Redundant Data Storage with Ordered Sequences

Solution Overview

Problem

Existing redundant data storage techniques consume excessive resources and do not optimize data access performance, despite improving availability and durability.

Innovation Solution

A system for storing data redundantly, where records are stored in multiple devices with different ordered sequences, allowing for optimized data access based on query types, and only replicating frequently accessed records to conserve resources.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If data is fully replicated on multiple storage devices, then availability and durability are improved, but storage space and energy consumption increase

Engineering Contradiction:

ImproveavailabilityVSAvoidstorage space

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The patent applies local quality by storing different types of data (hot, warm, cold data) with different replication factors in the same storage system. Frequently accessed data (hot data) is replicated across multiple devices for high availability, while less accessed data (cold data) is stored with lower or no replication, optimizing both availability and storage space utilization

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent segments data into different categories (hot, warm, cold) based on access frequency and applies different storage strategies to each segment. This segmentation allows the system to replicate only the necessary portions of data, reducing overall storage space consumption while maintaining availability for critical data

Inventive Principle:

Principle #1Segmentation

2Reliability

If data is fully replicated on multiple storage devices, then durability is improved, but energy consumption increases

Engineering Contradiction:

ImprovedurabilityVSAvoidenergy consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent applies local quality by storing different types of data (hot, warm, cold data) with different replication factors in the same storage system. Frequently accessed data (hot data) is replicated across multiple devices for high availability, while less accessed data (cold data) is stored with lower or no replication, optimizing both availability and storage space utilization

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent segments data into different categories (hot, warm, cold) based on access frequency and applies different storage strategies to each segment. This segmentation allows the system to replicate only the necessary portions of data, reducing overall storage space consumption while maintaining availability for critical data

Inventive Principle:

Principle #1Segmentation

3Loss of time

If data is stored with optimized access performance, then data retrieval time is reduced, but storage complexity increases

Engineering Contradiction:

Improvedata retrieval timeVSAvoidstorage complexity

Core Design Contradiction:

Loss of timeVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by pre-classifying data into hot, warm, and cold categories based on access patterns and pre-positioning them in appropriate storage locations with suitable replication factors. This preliminary classification and positioning enables fast data retrieval without requiring complex real-time analysis during data access operations

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent implements self-service through automated data classification and placement mechanisms that monitor access patterns and automatically move data between storage tiers and adjust replication factors without manual intervention. This automation reduces the complexity of managing optimized storage while maintaining fast data retrieval performance

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS12204415B2System for storing data redundantly, corresponding method and computer program

Publication Date: 2025.01.21 ORANGE SA

AI summary

A system for storing data redundantly is disclosed. The system includes a plurality of data storage devices, the data being structured in the form of a plurality of records. A first device of the plurality of storage devices stores the records according to a first ordered sequence of records and at least one second device of the plurality of storage devices stores at least one subset of the records according to at least one second ordered sequence of records which is different from the first ordered sequence for the at least one subset.