Technical Architecture of Nubila
A brief overview of Nubila's Technical Architecture
Nubila's platform integrates a comprehensive modular design that manages the end-to-end lifecycle of ESG data across various layers. Each component within these layers can be seamlessly integrated to ensure data integrity, security, and usability.
Identity Layer
Nubila ID: A unique identifier for users, ensuring a consistent identity across Web2 and Web3 systems.
Nubila Link: Connects different identity sources and data points.
Oracle: Provides trusted data feeds and external information to the blockchain.
Data Verification Services: Ensures data linked to identities is accurate and verified.
Storage Layer
Cold Storage: For long-term storage of data that is infrequently accessed but needs to be preserved.
Hot Storage: For data that needs to be accessed quickly and frequently.
Distributed Storage Network: Utilizes decentralized storage solutions like IPFS or Arweave for redundancy and security.
Database Management Systems: Traditional and blockchain-based databases for structured data storage.
Computation & Training Layer
TEE Cluster: Secure enclaves for confidential data processing.
AI Training Frameworks: Tools and frameworks for training AI models on ESG data.
Data Processing Pipelines: Systems for processing and preparing data for analysis and training.
TEE Attestation Services: Verifies data processing within the secure TEE environment.
Execution Layer
Smart Contracts: Automates the allocation of rewards and management of tasks.
Consensus Mechanism: Ensures the integrity and agreement of data processing outcomes.
Task Scheduler: Allocates processing tasks to the appropriate nodes or resources.
Reward Distribution System: Manages the distribution of rewards based on contributions and outcomes.
Verification Layer
Community Verifiers: Individuals or nodes responsible for validating TEE outputs.
Verification Protocols: Standardized procedures for verifying TEE attestation and data integrity.
Reputation System: Manages the reputation of verifiers to ensure reliable validation.
Audit Logs: Records verification activities for transparency and accountability.
Nubila: MachineFi Integration
Nubila integrates MachineFi principles to enhance the ESG data lifecycle, leveraging IoT devices and decentralized data collection methods. This community-driven approach ensures comprehensive and real-time data streams, reflecting true environmental and social metrics:
IoT Devices: Collect real-time ESG data from various sources (e.g., environmental sensors, social impact monitoring).
Decentralized Data Collection: Ensures a diverse and accurate data set, reducing reliance on centralized data sources.
Data Repackaging: Aggregated data is repackaged into new financial products and DApps, driving innovation and enabling new use cases in the financial sector.
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