AISim
  • 1. Market Background
    • 1.1 Development Prospects
    • 1.2 Potential Challenges
  • 2. AISim: The World’s First Web3 IoE Network
    • 2.1 AIA Protocol (AISim Intelligent Access Protocol)
    • 2.2 Decentralized Identity Authentication (DID) System
    • 2.3 Distributed AI Acceleration Engine
    • 2.4 Intelligent Privacy Computing Module
    • 2.5 DeAI Client (Decentralized AI Client)
    • 2.6 IoE Data Management and Intelligent Caching System
  • 3. Technical Architecture
    • 3.1 AIA Protocol
      • 3.1.1 Protocol Adaptation Layer
      • 3.1.2 Distributed Task Scheduling Engine
      • 3.1.3 Decentralized Communication Network
      • 3.1.4 Cross-layer Data Encryption and Privacy Protection
      • 3.1.5 Dynamic Resource Scheduling and Optimization
    • 3.2 Distributed AI Acceleration
      • 3.2.1 Edge Node Computing Optimization
      • 3.2.2 Multi-Node Distributed Execution
      • 3.2.3 Privacy-Preserving Collaborative Training
    • 3.3 Decentralized Identity and Access Management
      • 3.3.1 Identity Verification and Access Level Grading
      • 3.3.2 Multi-level Data Protection
  • 4. Application Scenario
    • 4.1 Smart Healthcare and Health Management
    • 4.2 Autonomous Driving and Intelligent Transportation
    • 4.3 Agricultural Internet of Things and Precision Agriculture
    • 4.4 Industrial Automation and Intelligent Manufacturing
    • 4.5 Smart City and Public Services
    • 4.6 Edge Computing and Distributed AI
  • 5. IoE Web3 Ecosystem Construction
    • 5.1 DID Physical Nodes
      • 5.1.1 Types of Smart SIM Cards
      • 5.1.2 Rights of DID Physical Nodes
    • 5.2 MVNO Integration
    • 5.3 Ecosystem Incentives
  • 6. Tokenomics
    • 6.1 Token Distribution
    • 6.2 AST Token Use Cases
  • 7.Roadmap
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  1. 2. AISim: The World’s First Web3 IoE Network

2.6 IoE Data Management and Intelligent Caching System

AISim's IoE Data Management and Intelligent Caching System significantly improves data management efficiency and response speed in IoE environments by constructing a hierarchical storage mechanism and real-time data stream support. The system plays a crucial role in supporting AI Agents to make real-time decisions.

  • Hierarchical Storage Mechanism

The system employs an intelligent caching mechanism that caches frequently accessed data to edge nodes, thereby reducing data transmission latency and enhancing task response speed. Meanwhile, intelligent algorithms dynamically identify and cache the most urgently needed data based on task priority and data access frequency.

  • Data Priority Management

The system ensures that critical data can be processed and transmitted first through data priority management functions. In this way, when facing system bottlenecks, lower-priority data will not occupy too many resources, thus ensuring that time-sensitive tasks can be completed in time.

  • Real-time Data Stream Support

AISim provides real-time data stream support to ensure that AI Agents can make decisions based on the latest data. This mechanism not only improves the decision-making efficiency of AI Agents in the IoE environment but also enhances the response capability of the entire IoE network, ensuring that the system can run efficiently and stably in a changing environment.

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