Distributed Ledger Technology

Distributed Ledger Technology

Technical Field:

Involves using distributed ledger technology (DLT) on a blockchain in combination with a cloud computing environment to efficiently store and verify data and metadata.

System Architecture:

The system includes at least one processor and memory, executed within a host organization that operates a blockchain interface on behalf of multiple tenants.

Each tenant accesses the blockchain as a participating node, and the system can receive and process transactions on the blockchain to update data records.

Transaction Processing Flow:

A transaction for a blockchain is received, which requests an update of the value of one or more data elements in a data record.

Execute a smart contract to verify the updated value specified in the transaction.

If the smart contract verification is successful, the transaction is added to a new block of the blockchain to update the data record.

Smart Contract Verification:

Smart contracts are used to verify the updated value in a transaction before allowing the transaction to update the data record on the blockchain.

The verification process ensures the consistency and integrity of the data and prevents unauthorized or erroneous modifications.

Blockchain combined with cloud computing:

The system leverages the scalability and flexibility of the cloud computing environment combined with the decentralization, transparency and immutability of the blockchain.

This approach improves the efficiency of data processing and storage while ensuring the security of the data.

Multi-tenant support:

The system supports multiple tenants, each of which can access the blockchain as a participating node and perform transactions.

This multi-tenant architecture allows different organizations or users to securely store and verify data on a shared blockchain network.

Practical application scenarios:

The system can be applied to fields that require high data security and integrity, such as finance, supply chain management, healthcare, etc.

Transaction verification is automatically performed through smart contracts, reducing the risk of human error and fraud.

Technical advantages:

The efficiency of data storage and verification is improved, and operating costs are reduced.

The credibility of data is enhanced through the immutability of blockchain.

The cloud computing environment provides the system with high scalability and flexibility.

What problem is solved?

It solves the problem of efficiently and securely storing and verifying large amounts of data and its metadata on the blockchain, especially in a multi-tenant environment.

What are the main components of the system?

The system mainly includes a processor, memory, and a blockchain interface executed within the host organization, which operates the blockchain on behalf of multiple tenants.

What role does the smart contract play in the system?

Smart contracts are used to verify the updated values ​​in transactions on the blockchain, ensure the consistency and integrity of the data, and prevent unauthorized or erroneous modifications.

What are the advantages of combining blockchain with cloud computing?

The decentralization, transparency and immutability of blockchain combined with the scalability and flexibility of cloud computing environment improve the efficiency of data processing and storage while ensuring data security.

What are the applicable scenarios of?

The system is suitable for fields that require high data security and integrity, such as finance, supply chain management, healthcare, etc.

How is multi-tenant support achieved?

The system supports multiple tenants, each of which can access the blockchain as a participating node and perform transactions. This multi-tenant architecture allows different organizations or users to securely store and verify data on a shared blockchain network.

What are the main technical advantages of?

The main technical advantages include improving the efficiency of data storage and verification, reducing operating costs, enhancing the credibility of data, and providing high scalability and flexibility.