DGT DOCS
  • 1. INTRODUCTION
    • 1.1 Executive Summary
    • 1.2 Why DGT
    • 1.3 Distributed Ledgers Technology
      • 1.3.1 Decentralization approach
      • 1.3.2 Consensus Mechanism
      • 1.3.3 Transactions
      • 1.3.4 Layered Blockchain Architecture
      • 1.3.5 Tokenomics
      • 1.3.6 Web 3 Paradigm
      • 1.3.7 Common Myths about Blockchain
    • 1.4 The DGT Overview
      • 1.4.1 Platform Approach
      • 1.4.2 DGT Functional Architecture
      • 1.4.3 Technology Roadmap
    • 1.5 How to create a Solution with DGT Networks
    • 1.6 Acknowledgments
  • 2. REAL WORLD APPLICATIONS
    • 2.1 Case-Based Approach
      • 2.1.1 DGT Mission
      • 2.1.2 The Methodology
      • 2.1.3 Case Selection
    • 2.2 Supply Chain and Vertical Integration
      • 2.2.1 Logistics Solution for Spare Parts Delivery
      • 2.2.2 DGT Based Solution for Coffee Chain Products
    • 2.3 Innovative Financial Services
      • 2.3.1 Crowdfunding Platform
      • 2.3.2 Real World Assets Tokenization
      • 2.3.3 Virtual Neobank over DGT Network
      • 2.3.4 DGT based NFT Marketplace
    • 2.4 Decentralized Green Energy Market
      • 2.4.1 Peer To Peer Energy Trading
      • 2.4.2 DGT based Carbon Offset Trading
    • 2.5 B2B2C Ecosystems and Horizontal Integration
      • 2.5.1 KYC and User Scoring
      • 2.5.2 Decentralized Marketing Attribution
      • 2.5.3 Case Decentralized Publishing Platform
      • 2.5.4 Value Ecosystem
    • 2.6 More Cases
  • 3. DGT ARCHITECTURE
    • 3.1 Scalable Architecture Design
      • 3.1.1 High Level Architecture
      • 3.1.2 DGT Approach
      • 3.1.3 Unique contribution
      • 3.1.4 Component Based Architecture
    • 3.2 Performance Metrics
    • 3.3 Network Architecture
      • 3.3.1 Nework Architecture in General
      • 3.3.2 Network Identification
      • 3.3.3 H-Net Architecture
      • 3.3.4 Transport Level
      • 3.3.5 Segments
      • 3.3.6 Static and Dynamic Topologies
      • 3.3.7 Cluster Formation
      • 3.3.8 Node Networking
      • 3.3.9 Permalinks Control Protocol
    • 3.4 Fault-Tolerant Architecture
      • 3.4.1 Introduction to Fault Tolerance
      • 3.4.2 F-BFT: The Hierarchical Consensus Mechanism
      • 3.4.3 Cluster Based Algorithms
      • 3.4.4 Arbitrator Security Scheme
      • 3.4.5 Heartbeat Protocol
      • 3.4.6 Oracles and Notaries
      • 3.4.7 DID & KYC
    • 3.5 Transactions and Performance
      • 3.5.1 Transaction Basics
      • 3.5.2 Transaction Processing
      • 3.5.3 Transaction and block signing
      • 3.5.4 Transaction Families
      • 3.5.5 Transaction Receipts
      • 3.5.6 Smart Transactions
      • 3.5.7 Private Transactions
      • 3.5.8 Multi signature
    • 3.6 Data-Centric Model
      • 3.6.1 Data layer overview
      • 3.6.2 Global State
      • 3.6.3 Genesis Record
      • 3.6.4 Sharding
      • 3.6.5 DAG Synchronization
    • 3.7 Cryptography and Security
      • 3.7.1 Security Architecture Approach
      • 3.7.2 Base Cryptography
      • 3.7.3 Permission Design
      • 3.7.4 Key Management
      • 3.7.5 Encryption and Decryption
      • 3.7.6 Secure Multi Party Computation
      • 3.7.7 Cryptographic Agility
      • DGTTECH_3.8.4 Gateway Nodes
    • 3.8 Interoperability
      • 3.8.1 Interoperability Approach
      • 3.8.2 Relay Chain Pattern
      • 3.8.3 Virtual Machine Compatibility
      • 3.8.4 Gateway Nodes
      • 3.8.5 Token Bridge
    • 3.9 DGT API and Consumer Apps
      • 3.9.1 Presentation Layer
      • 3.9.2 Application Architecture
    • 3.10 Technology Stack
    • REFERENCES
  • 4. TOKENIZATION AND PROCESSING
    • 4.1 Introduction to Tokenization
      • 4.1.1 DGT Universe
      • 4.1.2 Driving Digital Transformation with Tokens
      • 4.1.3 Real-World Tokenization
      • 4.1.4 Key Concepts and Definitions
    • 4.2 Foundations of Tokenization
      • 4.2.1 Definition and Evolution of Tokenization
      • 4.2.2 Tokenization in the Blockchain/DLT Space
      • 4.2.3 The Tokenization Process
      • 4.2.4 Tokenization on the DGT Platform
      • 4.2.5 Regulatory and Legal Aspects of Tokenization
      • 4.2.6 Typical Blockchain-Based Business Models
    • 4.3 The DEC Transaction Family
      • 4.3.1 DEC Transaction Family Overview
      • 4.3.2 DEC Token Features
      • 4.3.3 DEC Token Protocol
      • 4.3.4 DEC Account Design
      • 4.3.5 DEC Transaction Family Flow
      • 4.3.6 DEC Commands
      • 4.3.7 DEC Processing
      • 4.3.8 Payment Gateways
    • 4.4 Understanding Secondary Tokens
      • 4.4.1 The different types of tokens supported by DGT
      • 4.4.2 How secondary tokens are produced
  • 5. EXPLORING TOKENOMICS
    • 5.1 Introduction
      • 5.1.1 What does tokenomics mean?
      • 5.1.2 Goals of Building the Model for DGT Network
      • 5.1.3 Tokens vs Digital Money
      • 5.1.4 The Phenomenon of Cryptocurrency
      • 5.1.5 Basic Principles of Tokenomics
      • 5.1.6 AB2023 Model
    • 5.2 Node & User Growth
      • 5.2.1 Node Ecosystem
      • 5.2.2 User Growth and Retention Modeling
    • 5.3 Transactions
      • 5.3.1 Transaction Amount Components
      • 5.3.2 Shaping the Transaction Profile: A Three-pronged Approach
      • 5.3.3 Calculation of Transaction Number
    • 5.4 Network Performance Simulation
      • 5.4.1 Endogenous Model
      • 5.4.2 Network Entropy
      • 5.4.3 Network Utility
    • 5.5 Token Supply Model
      • 5.5.1 Introduction to Supply and Demand Dynamics
      • 5.5.2 Token distribution
      • 5.5.3 Supply Protocol
      • 5.5.4 Token Balance and Cumulative Supply
    • 5.6 Token Demand Model
      • 5.6.1 Node-Base Demand
      • 5.6.2 Transaction-Based Token Demand
      • 5.6.3 Staking Part Modeling
      • 5.6.4 Total Demand
    • 5.7 Token Price Simulation
      • 5.7.1 Nelson-Siegel-Svensson model
      • 5.7.2 The Price Model
    • 5.8 Decentralization Measurement
      • 5.8.1 Active Node Index
      • 5.8.2 Node Diversity in Hybrid Networks
      • 5.8.3 Token distribution
      • 5.8.4 Integral Calculation of Decentralization Metric
    • 5.9 Aggregated Metrics
      • 5.9.1 Transaction Throughput: Evaluating Network Performance and Scalability
      • 5.9.2 Market Capitalization: A Dimension of Valuation in Cryptocurrency
      • 5.9.3 Total Value Locked (TVL): A Spotlight on Network Engagement and Trust
  • 6. ADMINISTRATOR GUIDE
    • 6.1 Introduction
      • 6.1.1 Administrator Role
      • 6.1.2 Platform sourcing
      • 6.1.3 DGT Virtualization
      • 6.1.4 Using Pre-Built Virtual Machine Images
      • 6.1.5 Server Preparation
      • 6.1.6 OS Setup and initialization
    • 6.2 DGT CORE: Single Node Setup
      • 6.2.1 Launch the First DGT Node
      • 6.2.2 Dashboard setup
      • 6.2.3 Nodes Port Configuration
      • 6.2.4 Single Node Check
    • 6.3 DGT CORE: Setup Private/Public Network
      • 6.3.1 Network launch preparation
      • 6.3.2 A Virtual Cluster
      • 6.3.3 A Physical Network
      • 6.3.4 Attach node to Existing Network
    • 6.4 DGT Dashboard
    • 6.5 DGT CLI and base transaction families
    • 6.6 GARANASKA: Financial Processing
      • 6.6.1 Overview of DGT’s financial subsystem
      • 6.6.2 DEC emission
      • 6.6.3 Consortium account
      • 6.6.4 User accounts
      • 6.6.5 Payments
    • 6.7 Adjust DGT settings
      • 6.7.1 DGT Topology
      • 6.7.2 Manage local settings
    • 6.8 DGT Maintenance
      • 6.8.1 Stopping and Restarting the Platform
      • 6.8.2 Backing up Databases
      • 6.8.3 Network Performance
      • 6.8.4 Log & Monitoring
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  • 2.2.1.1 Benefits
  • 2.2.1.2 Solution Components
  • 2.2.1.3 Implementation Plan
  1. 2. REAL WORLD APPLICATIONS
  2. 2.2 Supply Chain and Vertical Integration

2.2.1 Logistics Solution for Spare Parts Delivery

The implementation of a DGT-based solution in a logistics company for spare parts delivery revolutionizes the supply chain management process. With the use of blockchain technology, the system ensures transparency, security, and efficiency in delivering crucial spare parts to transport companies, particularly in the aviation industry. The solution integrates various stakeholders, including suppliers, manufacturers, distributors, and transporters, into a decentralized network, enabling seamless collaboration and real-time tracking of spare parts.

2.2.1.1 Benefits

  • Enhanced Visibility and Transparency: The DGT-based solution provides real-time visibility into the spare parts delivery process, enabling the logistics company to track the movement of parts and monitor their status at each stage. This improves transparency and enables better decision-making.

  • Improved Efficiency and Accuracy: By automating various processes and integrating systems, the solution enhances operational efficiency and accuracy. It reduces manual errors, eliminates duplicate data entry, and streamlines information flow, leading to faster and more accurate spare parts delivery.

  • Optimized Inventory Management: With the integration of the DGT platform and inventory management system, the logistics company gains better control over spare parts inventory. It enables timely replenishment, minimizes stockouts, and ensures optimal inventory levels, reducing costs associated with excess inventory.

  • Enhanced Customer Satisfaction: The solution enables timely delivery of spare parts, reducing downtime for transport companies. With improved tracking and communication, customers receive up-to-date information on the status of their orders, leading to increased customer satisfaction.

  • Scalability and Flexibility: The DGT-based solution is designed to be scalable, allowing the logistics company to accommodate growth and handle increasing volumes of spare parts delivery. It also offers flexibility in adapting to changing business needs and integrating with additional systems or modules as required.

  • Data Security and Integrity: The DGT platform ensures the security and integrity of data exchanged between systems, protecting sensitive information related to spare parts, customers, and suppliers. It incorporates cryptographic mechanisms and secure communication protocols, maintaining the confidentiality and authenticity of data.

  • Compliance and Auditability: The solution provides a transparent and auditable trail of spare parts delivery transactions, supporting compliance with industry regulations and internal audit requirements. It enables the tracking of delivery timelines, verification of processes, and facilitates reporting for compliance purposes.

2.2.1.2 Solution Components

The solution architecture for the logistics company's spare parts delivery system, based on the API of the DGT Node, incorporates various components to ensure seamless integration with distributed providers, a marketplace of aircraft spare parts, and inventory management systems of suppliers. The architecture is designed to enable efficient communication and data exchange between these different systems, providing real-time visibility and streamlining the spare parts delivery process.

  • DGT Node: The core component of the solution is the DGT Node, which serves as the main interface for interacting with the DGT platform. It provides access to the DGT API, enabling the logistics company to send and receive data related to spare parts delivery, transactions, and other relevant information.

  • Distributed Providers: The solution integrates with distributed providers that are responsible for sourcing and supplying spare parts. These providers maintain their own inventory systems and can connect to the logistics company's spare parts delivery system via the DGT Node API. Through this integration, the logistics company can access real-time information on available spare parts, pricing, and delivery schedules from multiple providers.

  • Marketplace of Aircraft Spare Parts: The solution incorporates a marketplace where various suppliers and vendors can list their spare parts for sale. The marketplace can be accessed by the logistics company through the DGT Node API, allowing them to search for specific parts, compare prices, and initiate purchase transactions. The integration ensures seamless connectivity between the logistics company and the marketplace, enabling efficient procurement of spare parts.

  • Inventory Management of Suppliers: To optimize inventory management, the solution integrates with the inventory management systems of the logistics company's suppliers. Through the DGT Node API, the logistics company can obtain real-time updates on the availability, stock levels, and location of spare parts from their suppliers. This integration enables accurate inventory tracking and timely replenishment, ensuring efficient fulfillment of customer orders.

2.2.1.3 Implementation Plan

By following this implementation plan, the logistics company can leverage the capabilities of DGT to optimize spare parts delivery, enhance traceability, improve inventory management, and streamline coordination with transport companies, leading to increased efficiency and customer satisfaction.

Step
Description
Activity
Duration (weeks)

1

Requirement Analysis

Conduct meetings and discussions with the logistics company to gather requirements and understand their specific needs.

2

2

Design Transaction Family

Define and design a custom transaction family tailored to handle spare parts delivery, including relevant data fields and validation rules.

3

3

Private Network Deployment

Set up a private network segment using DGT nodes deployed in the cloud, ensuring secure and efficient communication between participants.

2

4

Integration with Inventory Management System

Integrate the DGT solution with the logistics company's existing inventory management system to enable seamless data exchange and real-time inventory tracking.

2

5

Traceability and Documentation

Implement mechanisms to track and record the movement of spare parts throughout the delivery process, ensuring transparency and traceability. Document all relevant information related to each transaction.

3

6

Coordination with Transport Companies

Collaborate with transport companies to establish streamlined communication channels and define processes for efficient spare parts delivery, including scheduling, tracking, and notification mechanisms.

2

7

Tokenization of Teardown Aircraft

Explore the possibility of tokenizing teardown aircraft to enhance liquidity, fractional ownership, and facilitate secondary market trading of aircraft parts. Implement the necessary tokenization mechanisms and ensure compliance with relevant regulations.

4

8

Testing and Deployment

Conduct thorough testing of the implemented solution to ensure its functionality, reliability, and security. Deploy the solution in a production environment, making it operational for daily use.

3

9

Continuous Improvement and Expansion

Continuously monitor and evaluate the performance of the implemented solution, gather feedback from stakeholders, and make iterative improvements based on user needs and changing market dynamics. Explore opportunities for expanding the solution to other logistics scenarios or integrating additional features.

Ongoing

10

Training and Adoption

Provide training and support to the logistics company's staff and stakeholders to ensure smooth adoption of the DGT-based solution. Offer guidance on how to effectively utilize the platform's features and address any questions or concerns.

2

Previous2.2 Supply Chain and Vertical IntegrationNext2.2.2 DGT Based Solution for Coffee Chain Products

Last updated 1 year ago