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
Powered by GitBook
On this page
  1. 6. ADMINISTRATOR GUIDE
  2. 6.3 DGT CORE: Setup Private/Public Network

6.3.1 Network launch preparation

Network deployment is the installation of several nodes interacting with each other. Unlike peer-to-peer network, a DGT network can have a set structure that is thought out and configured in advance. The following items must be considered:

  • Setting up the network topology. In DGT, nodes are combined into special groups (clusters) that allow to achieve the F-BFT consensus and a significant scaling effect. Clusters can be hierarchical, allowing for the creation of additional network structures with different levels of trust.

  • Segments are another network structure that define the access permissions to the network. Closed (private) segments require access permissions though certificates. Public segments allow free connection. Although several settings allow the network to change dynamically, its initial organization must be well thought out.

  • The first nodes entering the network are the so-called seed-configuration (the static core of the network) and must have a certain level of trust that allows them to recognize public keys before making changes in the topology. The initial (seed) topology of the network, including the hierarchy of clusters and segments, can be described by special configuration files (see below).

  • DGT allows for flexible management of cryptographic libraries at the network planning stage. However, once the network is launched, the addressing in the distributed (DAG) ledger, transaction signatures, and hidden message encoding must be unified. Therefore, select the correct node assembly parameters before proceeding to launch (see below).

  • Connecting to the network and forming closed clusters requires registration and correct processing of certificates in X.509 format (binding a public key to a specific node). See details below.

  • The payload within the network is essentially the exchange of transactions. DGT supports different families of transactions, some of which are built-in (such as #topology, handled by the topology processor; #xcert supporting certificate processing; #bgt token testing transactions – see below). Network deployment assumes that all nodes within one cluster support the corresponding family of transactions.

  • Connection nodes to the network is carried out through a special type of transactions processed by the topology processor. Like all transactions, they can be rejected and go through a consensus mechanism.

The following options for network deployment and organization of network are available:

#

Network Organization

Description

Section

1

Virtual Clusters

In this configuration, the nodes are deployed on a single physical server using the Docker containerization technology. This schema is convenient for testing purposes or when developing your own applications.

2

Physical Network

In this configuration, nodes are deployed on a separate physical server and communicate using the Internet.

3

Attaching nodes to an existing network

As part of this configuration, the node joins an existing network, virtual or physical, considering various access parameters (private or public segment).

Select the network parameters prior to deployment:

#

Parameters

Description

Options

1

Cryptography

Cryptography is determined by the -CB key when assembling the node and determines the library type, cryptography type (RSA, EDCSA, NTRU), and curve parameters. This influences signatures, verifications, addressing, and other interaction parameters between the nodes. The network must support a single cryptographic system.

-CB openssl (ECDSA over OpenSSL)

2

Physical location of the network

Nodes can be hosted on virtual machines for development or testing purposes. An alternative option is to host servers on different machines on a physical network. The third option is to connect the server to an existing network.

3

Number of nodes in a cluster

Although the network configuration can be changed during operation, some parameters, such as the maximum number of nodes per cluster or the depth of the clusters’ hierarchy could be fixed initially.

-- dgt.net.static

- dgt.net.map

- dgt.net.dyn

4

Access method

Within the same DGT Network, there can be both closed (private) segments that require access approval and open segments, the access to which is limited only by the restrictions on the size of the cluster.

-- dgt.net.static

- dgt.net.map

- dgt.net.dyn

5

Notation

When forming a network map from many nodes, special attention should be paid to node notation, which allows for the representation of nodes through a mnemonic name. Such named can be redefined through the map.

Setting up through

6

Seed Bundle

At network setup, node data can be obtained in a variety of ways, including the dynamic topology processor. At the same time, at the start of the network, some of the nodes can immediately form a circle of trusted validators. The indicators of such nodes are recorded in a special configuration file.

Previous6.3 DGT CORE: Setup Private/Public NetworkNext6.3.2 A Virtual Cluster

Last updated 1 year ago

-CB bitcoin ( - ECDSA over bitcoin)

- Virtual Clusters (see)

- Physical Network (see )

- Attaching Node (see )

Setting up the map (see )

Setting up the map (see )

- dgt.netmap (see )

See «static_map» in the configuration file dgt.net.map (see )

6.3.2
6.3.3
6.3.4
bitcoin secp256k1
6.3.2
6.3.3
6.3.4
6.7.1
6.7.1
3.7.1
3.7.1