Federated Architecture
The architecture should be distributed yet unified, allowing independent operators (OEMs, data collectors, etc.) to manage their own systems while adhering to global standards.
Core Components
- Centralized Identity Management
Component: Azure AD B2C (or similar federated identity provider).
Purpose: Unified authentication and Single Sign-On (SSO) across all ecosystem instances.
Functionality:
- User login via email or social accounts.
- Federated identity to ensure one login works across distributed systems.
- Distributed Data Market Instances
Component: Decentralized instances hosted by each operator.
Purpose: Allow operators to manage their data autonomously.
Functionality:
- Data ingestion, anonymization, and metadata tagging.
- API access for data sharing and monetization.
- Integration with global standards for interoperability.
- Interoperability Layer
Component: Standardized APIs using tools like Azure API Management.
Purpose: Ensure seamless communication between instances.
Functionality:
- Common protocols (e.g., OpenID Connect, OAuth 2.0, and REST APIs).
- Standardized data schemas (e.g., Vehicle Signal Specification).
- Global Synchronization and Governance
Component: Azure Front Door, Logic Apps, and Purview.
Purpose: Maintain global consistency and compliance.
Functionality:
- Route users to regional instances for low latency.
- Synchronize policies, configurations, and updates across operators.
- Manage compliance reporting and auditing.
- Data Storage and Processing
Component: Azure Cosmos DB (globally distributed database) and Azure Functions (serverless processing).
Purpose: Scalable and low-latency storage and reactive workflows.
Functionality:
- Store user preferences, metadata, and consent information.
- Process real-time data access and token validation.
- Privacy and Compliance Layer
- Component: Azure Purview and Key Vault.
- Purpose: Ensure legal and ethical data handling.
- Functionality:
- Data cataloging for compliance audits.
- Secure storage of consent and sensitive data.
- Monitoring and Observability
Component: Azure Monitor and Log Analytics.
Purpose: Centralized logging and performance tracking.
Functionality:
- Real-time system health monitoring.
- Incident detection and response.
Deployment Strategy
- Distributed Operations: Each operator deploys their instance (e.g., OEMs host in their regions).
- Shared Standards: All instances adhere to global standards for APIs, data schemas, and protocols.
- Serverless Framework: Use serverless services (e.g., Azure Functions, Logic Apps) to support the reactive nature of the system.