Blendr Network – Technical Plan Docs
  • Blendr's Network
    • Executive Summary
  • Problem and Solution for Blendr - A Comprehensive Approach
  • Blendr's Decentralized Architecture
    • Blendr Compute Mesh (BCM)
    • BlendrChain
    • Blendr Token ($BLENDR)
    • BME | Native Token
    • Digital Asset Rights Ledger (DARL)
    • Node Engagement Protocol (NEP) and Creator Engagement Protocol (CEP)
    • Node Manager Selection
    • Task Scheduler Optimization active GPUs
    • Data Encryption and Integrity - Quantum-Resistant Encryption
    • Blockchain Smart Contract for Task Verification - Enhanced with Oracles
    • Reward Mechanism for GPU Contributors
    • Token Staking for Non-GPU Holders
    • Multi-Tier Pricing (MTP) Algorithm
    • Voting Power
    • Reputation Scoring System
    • Resource Allocation
    • Burn and Mint Equilibrium (BME)
    • Secure Transaction Protocol
    • Allocation Optimization
    • Dynamic Pricing Model
    • Incentive Mechanism (Burn and Mint Equilibrium - BME)
    • Token Staking
    • Reputation and Incentive Mechanism
    • GPU Selection and Task Allocation
    • CUDA + Blendr
    • Flow for User
  • In conclusion
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  1. Blendr's Decentralized Architecture

Incentive Mechanism (Burn and Mint Equilibrium - BME)

PreviousDynamic Pricing ModelNextToken Staking

The BME may adjust the token supply to stabilize the economy, which could be represented as

Define T(t)T(t)T(t) as the total supply of tokens at time ttt. When a task is completed, burn a fraction ϕ \phi ϕ  of the task's cost from the total supply and mint new tokens MMM based on network activity A(t)A(t)A(t):

T(t+1)=T(t)−ϕ⋅Cost(task)+M(A(t)) T(t + 1) = T(t) - \phi \cdot \text{Cost}(task) + M(A(t)) T(t+1)=T(t)−ϕ⋅Cost(task)+M(A(t)) 

Where M(A(t)) M(A(t)) M(A(t))  is a function that determines the number of new tokens to mint based on network usage metrics.