Multi-tenant management decision-making of Einstein Cloud Platform

Multi-tenant management decision-making of Einstein Cloud Platform

System architecture:

Multi-tenant blockchain platform: The system supports multiple tenants operating on the blockchain, and each tenant accesses the blockchain as a participating node.

Blockchain service interface: The host organization interacts with the blockchain through the blockchain service interface to provide compliance and management of the blockchain protocol.

Database system: Integrated in the host organization environment, supporting application code execution and data storage.

Blockchain metadata definition management:

Blockchain metadata definition manager: Allows tenants to define and create metadata, which are then pushed to the blockchain.

Metadata consistency verification: Perform metadata compliance verification through smart contracts to ensure that data blocks meet the definition standards before being added to the blockchain.

Smart contract and data verification:

Smart contract execution: Verify the validity of data updates on the blockchain through smart contracts to ensure data compliance.

Transaction verification process: Receive blockchain transaction requests, execute smart contracts to verify the updated value, and write to a new block after successful verification.

Data storage and retrieval:

Data merging and serialization: Perform data merging operations to serialize updated data to improve storage efficiency and retrieval speed.

Indexing mechanism: Use Merkle tree index to improve data retrieval efficiency, allowing fast retrieval of data records by specific addresses.

Multi-tenancy and data sharing:

Training data set sharing: Configure the blockchain to share training data sets according to the consent agreement, and support collaboration among multiple tenants.

AI model training and registration: Train AI models to make recommendations based on shared data sets, and register the models to the audit record keeping service.

Blockchain consensus and security:

Consensus management: Implement blockchain consensus management to ensure that all participating nodes reach a consensus on the state of the blockchain.

Blockchain protocol customization: Support customized blockchain protocols to meet specific application requirements, including public and private blockchains.

Blockchain integration and cloud services:

Cloud service integration: The system is provided as a cloud service, supporting tenants to interact with the blockchain through APIs and GUIs.

Application development and deployment: Provide tools and interfaces to support rapid application development and deployment, and lower the threshold of blockchain technology.

Audit and compliance:

Audit record keeping service: Implement audit record keeping service to ensure that all transactions and decisions are traceable and transparent.

Compliance support: Support compliance with regulatory requirements, such as the U.S. Consumer Credit Protection Act, and provide tamper-proof audit records.

The document describes in detail the architecture, functions and workflow of a multi-tenant blockchain platform, which aims to improve data transparency, security and compliance through DLT technology, especially in supporting AI model decision-making and audit trails. Through smart contracts, metadata management, indexing mechanisms and consensus protocols, the system realizes an efficient, scalable and secure blockchain solution.