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

Reputation and Incentive Mechanism

PreviousToken StakingNextGPU Selection and Task Allocation

The reputation score of a node nin_ini​ can be updated based on its performance in completing tasks, denoted as PiP_iPi​, and its historical reliability, denoted as HiH_iHi​:

Ri(new)=γ⋅Pi+δ⋅HiR_i^{(new)} = \gamma \cdot P_i + \delta \cdot H_iRi(new)​=γ⋅Pi​+δ⋅Hi​

Where  γ \gamma γ and δ\deltaδ are weight factors for current performance and historical reliability, respectively, and Ri(new)R_i^{(new)}Ri(new)​ is the updated reputation score of node nin_ini​.