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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. Architecture and Technical Framework

Network Layer Design

The Lumora network layer is designed to enable efficient, secure, and decentralized communication among its components. This architecture ensures scalability, low latency, and resilience through a combination of advanced networking protocols and blockchain integration.


1. Overview of the Network Layer

The network layer facilitates the seamless interaction between Bandwidth Providers, Task Executors, and Data Consumers. Key responsibilities include:

  • Routing and distributing tasks dynamically across nodes.

  • Enabling encrypted communication for secure data transfers.

  • Integrating with blockchain for transparency and task logging.


2. Core Components of the Network Layer

  1. Peer-to-Peer (P2P) Communication:

    • The network operates on a decentralized P2P architecture, eliminating the need for central servers.

    • Uses libp2p for reliable communication between nodes.

  2. Distributed Hash Table (DHT):

    • Ensures efficient task discovery and resource allocation by mapping tasks to available nodes.

    • Nodes use DHT to locate peers and retrieve metadata about assigned tasks.

  3. Proximity-Based Routing:

    • Tasks are assigned to nodes nearest to the data source to reduce latency and bandwidth costs.

    • Geographic proximity is calculated using metrics such as round-trip time (RTT) and hop count.

  4. Task Manager Node:

    • Serves as the decentralized coordinator for task distribution and monitoring.

    • Implements dynamic load balancing and task prioritization algorithms.


3. Task Routing and Allocation

The network layer dynamically routes tasks based on node proximity, bandwidth availability, and latency.

Routing Algorithm:

  1. Input Variables:

    • B_i: Bandwidth availability of node i.

    • P_i: Proximity of node i to the task source.

    • L_i: Latency of node i.

  2. Task Score Calculation:

    Score_i = α * (B_i / B_max) + β * (1 / P_i) + γ * (1 / L_i)
    • α, β, γ: Weighting factors for bandwidth, proximity, and latency.

    • B_max: Maximum available bandwidth across the network.

  3. Task Assignment:

    • Nodes with the highest Score_i are prioritized for task execution.

    • Tasks are reassigned dynamically if a node fails to complete its assignment.


4. Data Transfer Protocols

  1. Encryption:

    • Data is encrypted using AES-256 for secure transmission between nodes.

    • Encrypted Data Formula:

      E_k(M) = AES-256(k, M)
      • E_k(M): Encrypted message M with key k.

  2. Checksum Validation:

    • Ensures data integrity during transmission using SHA-256.

      H(M) = SHA-256(M)
      • H(M): Hash value of the message M.

  3. Bandwidth Optimization:

    • Data packets are compressed before transmission to reduce network overhead.

    • Multi-part data transfers ensure large datasets are distributed efficiently.


5. Blockchain Integration

  1. Immutable Task Logs:

    • Each task and its execution details are logged immutably on the blockchain.

    • Provides transparency and accountability for all network activities.

  2. Reward Distribution:

    • Smart contracts automate token-based rewards for bandwidth providers and task executors.

    • Reward Calculation:

      R_i = C_i * R_total
      • C_i: Contribution of node i.

      • R_total: Total rewards for the cycle.


6. Fault Tolerance and Redundancy

  1. Redundant Task Assignment:

    • Tasks are assigned to backup nodes in case of failure.

    • Ensures high availability and minimal disruptions.

  2. Node Health Monitoring:

    • Real-time monitoring identifies underperforming or offline nodes.

    • Nodes with consistent failures are flagged and penalized via the reputation system.


7. Scalability

  1. Layer-2 Scaling:

    • Integrates Layer-2 solutions (e.g., Polygon) to handle high transaction volumes and reduce fees.

  2. Sharding:

    • Divides the network into shards to distribute workloads evenly and improve performance.

    Shard_Size = Total_Nodes / Number_of_Shards
  3. Geographic Node Distribution:

    • Nodes are spread globally to optimize latency and ensure consistent network performance.


Key Features of the Network Layer

  • Decentralization: Fully distributed with no reliance on central authorities.

  • Efficiency: Dynamic routing and proximity-based task allocation reduce latency and bandwidth usage.

  • Security: End-to-end encryption and blockchain integration ensure secure and transparent operations.

  • Scalability: Sharding and Layer-2 scaling enable the network to support millions of nodes.

This robust network layer design ensures Lumora’s ability to deliver a decentralized, scalable, and secure platform for bandwidth sharing and data access.

Last updated 3 months ago