techtide.vip
  • overview
    • There’s More Compute Than We Think
    • When Idle Compute Connects, Possibility Scales
  • introduction
    • TechTide Handles More Than Just Computing
      • Use Case 1: AI Model Inference Tasks
      • Use Case 2: Large-Scale Data Processing
      • Use Case 3: Web3 Verification & Off-Chain Computation
      • Use Case 4: Edge-Based Real-Time Task Execution
      • Use Case 5: Developer-Submitted Compute Tasks
    • How to Participate in TechTide
      • Step 1: Choose Your Mode of Participation
      • Step 2: Connect Your Identity
      • Step 3: Start Node & Receive Tasks Automatically
      • Step 4: Earn Points Through Uptime & Task Completion
      • Step 5: Redeem Points for $TTD and Access Network Benefits
    • Why TechTide Makes Sense to Join
  • System Architecture & Execution Layer
    • Task Scheduler Layer
    • WASM Execution Layer
    • Base Chain Integration Layer
    • Trust and Validation Layer
  • Tokenomics
    • Tokenomics
      • Utinity
      • Allocation
  • Roadmap
    • Roadmap
  • FAQ
    • FAQ
Powered by GitBook
On this page
  1. System Architecture & Execution Layer

Task Scheduler Layer

At the core of the system is a decentralized scheduler that categorizes and matches tasks to nodes. Incoming tasks are classified into:

  • AI inference

  • Data processing

  • Web3 validation

  • Edge compute

  • Developer-defined workloads

Scheduling decisions are made based on:

  • Device performance profiles (CPU/GPU benchmarks)

  • Live availability and uptime

  • Network latency/bandwidth

  • Task completion history and reputation

  • Geographic locality (for edge tasks)

While scheduling logic is off-chain for performance reasons, task assignment logs are anchored periodically on-chain to ensure traceability.

PreviousWhy TechTide Makes Sense to JoinNextWASM Execution Layer