DÆTA
  • DÆTA
  • DÆTA Storage
    • Overview
    • Vision
    • Problem Statement
    • Market Opportunity
  • Use DÆTA
    • DÆTA Account
    • DÆTA Client
    • Use DÆTA App
  • Core Concepts
    • Decentralized Storage
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    • Encryption and Security
  • Node Operations
    • Storage Node
    • Node Management
    • Performance Optimization
  • DÆTA Framework
    • Key Components
      • Users
      • Nodes
      • Satellites
    • Data Flow
    • Redundancy and Data Repair
    • Blockchain Compatibility
    • Third-party Integrations
    • Industry Use Cases
  • DÆTA LVRG
    • Overview
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    • GPT-to-Earn
    • Open Data Marketplace
  • Data Components
    • Datasets
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  • Data Sovereignty & Decentralization
    • Data Sovereignty
    • Decentralization & Censorship Resistance
  • How to Get Started
    • Install DÆTA LVRG Extension
  • Tokenomics
    • DÆTA Token
    • Utility and Economic Mechanism
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  1. DÆTA Framework

Redundancy and Data Repair

Ensures continuous data availability and recovery.

DÆTA implements advanced redundancy and data repair mechanisms to ensure high data availability and durability.

Redundancy Strategy

  • Reed-Solomon Erasure Coding: Enables data recovery with fewer shards than the original total.

  • Geographic Distribution: Shards are stored on nodes in different physical locations.

  • Dynamic Redundancy: Adjusts based on file importance and network conditions.

Redundancy Configuration

{
  "file_id": "f47ac10b-58cc-4372-a567-0e02b2c3d479",
  "total_shards": 30,
  "required_shards": 20,
  "distribution": {
    "continent": {
      "max_shards_per_continent": 10,
      "min_continents": 3
    },
    "country": {
      "max_shards_per_country": 5,
      "min_countries": 6
    }
  }
}

Data Repair Process

  • Continuous Monitoring: Satellites regularly check shard availability.

  • Threshold Detection: Repair process initiated when available shards approach the minimum threshold.

  • Shard Regeneration: Missing shards are reconstructed using available data.

  • Replication: New shards are distributed to maintain desired redundancy.

def repair_file(file_id):
    shards = get_file_shards(file_id)
    available_shards = [s for s in shards if s.is_available()]
    
    if len(available_shards) <= file.required_shards:
        reconstruct_and_redistribute(file_id, available_shards)
    elif len(available_shards) < file.total_shards:
        regenerate_missing_shards(file_id, available_shards)

def reconstruct_and_redistribute(file_id, available_shards):
    original_data = reconstruct_data(available_shards)
    new_shards = generate_new_shards(original_data, file.total_shards)
    distribute_shards(new_shards)

def regenerate_missing_shards(file_id, available_shards):
    missing_shard_count = file.total_shards - len(available_shards)
    new_shards = generate_additional_shards(available_shards, missing_shard_count)
    distribute_shards(new_shards)

By implementing this architecture, DÆTA ensures a robust, scalable and resilient decentralized storage network that can adapt to changing conditions and maintain high data integrity and availability.

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Last updated 7 months ago