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

Allocation Optimization

The objective is to minimize the total processing time or cost while ensuring that the computational demand of tasks is met by the allocated nodes. Let xijx_{ij}xij​ be a binary decision variable that is 1 if task tjt_jtj​ is assigned to node nin_ini​ and 0 otherwise.

Minimize the total cost:

Minimize∑i=1m∑j=1kxij⋅Cij{Minimize} \sum_{i=1}^{m} \sum_{j=1}^{k} x_{ij} \cdot C_{ij}Minimizei=1∑m​j=1∑k​xij​⋅Cij​

Subject to the computational demand and capacity constraints:

∑i=1mxij⋅Dj≤Capacityi, ∀i\sum_{i=1}^{m} x_{ij} \cdot D_j \leq \text{Capacity}_i, \ \forall ii=1∑m​xij​⋅Dj​≤Capacityi​, ∀i
∑j=1kxij=1, ∀j\sum_{j=1}^{k} x_{ij} = 1, \ \forall jj=1∑k​xij​=1, ∀j

Where CijC_{ij}Cij​ is the cost of assigning task tjt_jtj​ to node nin_ini​, and Capacityi{Capacity}_iCapacityi​ is the computational capacity of node nin_ini​.

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