Architecture

Data Source:

The data source and provider for the AI Data Center. After authentication, it gains the permission to upload data and is responsible for uploading valuable, high-quality data, ensuring data accuracy and reliability.

Data User:

Users of the AI Data Center who can directly access data in Storage or retrieve the required data through the Index. Users can query and manipulate data based on their access permissions.

Data Governance:

The primary administrator of the AI Data Center, responsible for creating and managing Storage, performing data statistics and analysis, handling authentication requests from data providers, and issuing authentication permissions to Storage. Ensures data security, compliance, and optimizes storage resource usage.

Storage:

The data storage entity, which uses a partitioning model for data storage and scaling, supporting large-scale data management. Responsible for authenticating and managing data upload permissions, ensuring data security and efficient storage.

Data Index:

The index manager of the AI Data Center, responsible for creating and managing Indexes. Performs statistical analysis to optimize and manage the Indexes. Supports dynamic index strategy adjustments to meet different query requirements.

Index:

The data index entity, providing standardized index template interfaces and supporting flexible, customized indexing schemes to improve data retrieval efficiency. Allows for custom index approaches based on data structure and query needs.

Data Root:

The IC container root controller, responsible for globally monitoring the status and cycle (Cycle) of various components in the AI Data Center, such as Factory, Manager, Storage, and Index. When the cycle is insufficient, it triggers an automatic recharge mechanism to ensure continuous operation and proper resource allocation.