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  • Lumora
    • Welcome to the Lumora GitBook
    • Introduction
    • Decentralized Internet Bandwidth Sharing
    • Problem Landscape
    • Lumora Ecosystem Overview
      • Participants and Roles
      • Interaction Flow within the Network
      • Advantages of Decentralized Networks
    • Architecture and Technical Framework
      • Network Layer Design
      • Browser Extension and DApp Interaction
      • Blockchain-Powered Backend
      • Integration with Decentralized Storage Protocols
    • Smart Contracts and Tokenomics
    • Core Algorithms
      • Bandwidth Allocation Optimization
      • Proximity-Based Task Assignment
      • Adaptive Data Scraping Framework
      • Dynamic Reward Calculation Protocols
    • Privacy and Security Framework
    • Decentralized Data Scraping Protocol
    • AI-Driven Network Enhancements
    • Roadmap
    • Advanced Scraping for Interactive and Dynamic Content
    • Community Engagement
    • Appendices
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Lumora

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  1. Lumora
  2. Lumora Ecosystem Overview

Interaction Flow within the Network

The Lumora network’s interaction flow is designed to enable seamless collaboration between bandwidth providers, task executors, and data consumers. The decentralized architecture ensures efficiency, transparency, and scalability while maintaining robust privacy and security standards. Below is a step-by-step breakdown of the interaction flow within the Lumora network.


1. Bandwidth Sharing

  • Step 1: Setup by Bandwidth Providers

    • Providers install the Lumora browser extension or DApp on their devices.

    • The system begins monitoring unused bandwidth and securely allocates it for network tasks.

    • Providers set limits on bandwidth contribution through the user dashboard, ensuring regular internet activities remain unaffected.

  • Step 2: Idle Bandwidth Contribution

    • Unused bandwidth is encrypted using AES-256 and securely contributed to the network.

    • A Proof-of-Bandwidth mechanism validates contributions, ensuring fairness and transparency.


2. Task Assignment

  • Step 1: Decentralized Task Management

    • The Decentralized Task Manager dynamically assigns data scraping and aggregation tasks to network nodes.

    • Tasks are allocated based on:

      • Real-time bandwidth availability

      • Geographic proximity to data sources

      • Latency and node capacity

  • Step 2: Proximity Optimization

    • Tasks are prioritized for nodes closest to the data source, reducing latency and enhancing efficiency.

    • This ensures faster task execution and minimizes resource wastage.


3. Data Processing and Aggregation

  • Step 1: Data Collection by Task Executors

    • Assigned nodes perform distributed data scraping from publicly accessible sources.

    • Web scraping tasks are executed in compliance with ethical and legal standards.

  • Step 2: Data Encryption and Aggregation

    • Collected data is encrypted using advanced protocols (e.g., AES-256) to maintain integrity and security.

    • The encrypted data is aggregated and stored securely, ready for access by data consumers.


4. Reward Distribution

  • Step 1: Proof-of-Bandwidth Validation

    • Bandwidth contributions are validated using blockchain-powered Proof-of-Bandwidth mechanisms.

    • Tasks completed by nodes are logged immutably on the blockchain, ensuring transparency.

  • Step 2: Token-Based Rewards

    • Bandwidth providers and task executors receive LMR tokens proportional to their contributions.

    • Smart contracts automate reward distribution, eliminating the need for intermediaries.


5. Data Access by Consumers

  • Step 1: Dataset Purchase

    • Data consumers (e.g., AI developers, researchers) access the Lumora decentralized marketplace.

    • They browse and purchase aggregated datasets using Lumora tokens.

  • Step 2: Transparent Data Delivery

    • Purchased datasets are delivered securely, with blockchain logging ensuring traceability and accountability.

    • Consumers receive encrypted data with detailed provenance, guaranteeing ethical data sourcing.


6. Continuous Monitoring and Optimization

  • Step 1: Network Metrics Analysis

    • Real-time monitoring of bandwidth usage, task performance, and network load ensures optimal operation.

    • Proximity-based task assignment and load balancing algorithms dynamically adapt to changing conditions.

  • Step 2: Feedback Loop

    • User feedback is collected to refine system performance and enhance user experience.

    • Regular updates to algorithms and protocols ensure scalability and efficiency.


Key Advantages of the Interaction Flow

  1. Seamless Decentralization:

    • Tasks and rewards are managed without reliance on a central authority, ensuring resilience and fairness.

  2. Optimized Resource Utilization:

    • Dynamic task allocation minimizes idle resources and maximizes bandwidth usage.

  3. Transparent and Secure:

    • Blockchain logging and advanced encryption provide a tamper-proof, privacy-centric infrastructure.

  4. Scalable and Adaptive:

    • The system dynamically scales to accommodate increased participants and data demands, maintaining performance and efficiency.

The interaction flow within the Lumora network embodies the principles of decentralization, efficiency, and inclusivity, creating a robust ecosystem for bandwidth sharing and data access.

Last updated 13 days ago