Dynamic Blockchain Node Assignment for Transaction Type and Intelligence
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Solution Overview
Problem
Current Distributed Ledger Technology (DLT) and blockchain systems face inefficiencies due to fixed, immutable data storage lacking context and metadata, leading to wasted storage space and inefficient resource use, as well as non-standardized data formats causing issues in data transfer and application compatibility.
Innovation Solution
Implementing systems and methods to dynamically assign nodes to groups within blockchains based on transaction type and node intelligence using DLT in conjunction with a cloud-based computing environment, enabling dynamic metadata management and validation, and improving data storage and retrieval efficiency through indexing and smart contract validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is stored in a fixed, immutable manner in blockchain, then data integrity and security are improved, but storage efficiency deteriorates due to wasted space and lack of context
Solution Approach 1:
The patent implements nested data structures where metadata is embedded within transaction data blocks. Each block contains not only the primary transaction data but also associated metadata that provides context, indexing information, and validation rules. This nesting allows the system to maintain immutable transaction records while efficiently storing contextual information in a compact, organized manner that reduces redundant storage.
Solution Approach 2:
The patent introduces a temporal dimension to blockchain data storage by implementing versioned metadata and historical state tracking. Instead of storing only current state data, the system preserves historical versions of data and metadata in an optimized format, allowing efficient retrieval of past states without duplicating entire blockchains. This dimensional approach enables space-efficient storage of contextual information.
2Adaptability or versatility
If non-standardized data formats are used in blockchain transactions, then flexibility and adaptability are improved, but data transfer efficiency and application compatibility deteriorate
Solution Approach 1:
The patent implements a dynamic parameter system where data formats and metadata schemas can be modified without changing the underlying blockchain structure. The system uses configurable parameters that allow different data representations, encoding schemes, and validation rules to be applied based on transaction type and requirements. This parameter-driven approach maintains flexibility while enabling standardized processing paths for common transaction types, improving transfer efficiency.
Solution Approach 2:
The patent segments data into standardized core transaction fields and extensible metadata sections. The core fields follow a rigid, efficient format optimized for validation and processing, while the metadata section allows flexible, customized data structures. This segmentation enables the system to process essential transaction data efficiently while accommodating diverse, application-specific data requirements in the metadata portion without compromising overall compatibility.
3Reliability
If all nodes process every transaction in a blockchain, then decentralization and security are improved, but processing speed and scalability deteriorate
Solution Approach 1:
The patent implements local quality optimization by allowing different nodes to specialize in processing specific types of transactions based on their capabilities and workload. The system dynamically assigns transaction routing and validation responsibilities to appropriate nodes, enabling high-performance computing nodes to handle complex validations while other nodes focus on simpler transactions. This specialization maintains decentralized security through distributed validation while significantly improving overall processing throughput.
Solution Approach 2:
The patent introduces dynamic node assignment and consensus mechanisms that adapt to current network conditions, transaction types, and node availability. Instead of static, uniform transaction processing across all nodes, the system dynamically adjusts which nodes validate which transactions based on real-time factors such as node load, expertise, and transaction priority. This dynamic approach maintains the security benefits of widespread participation while optimizing processing speed by preventing unnecessary work at each node.
4Loss of information
If metadata and contextual information are added to blockchain transactions, then data utility and validation capability are improved, but storage requirements and complexity increase
Solution Approach 1:
The patent implements preliminary action by pre-defining metadata schemas, validation rules, and data structures at the time of transaction creation or before transaction processing. Rather than adding complex metadata and validation logic dynamically during transaction execution, the system prepares and validates metadata structures in advance, organizing contextual information according to predefined templates. This preliminary organization reduces the complexity of real-time processing while preserving comprehensive data context and metadata.
Data Source
AI summary
Exemplary systems, methods, and apparatuses dynamically assign nodes to a group within blockchains based on transaction type and node intelligence using Distributed Ledger Technology (DLT) in conjunction with a cloud based computing environment. The exemplary system operates a blockchain interface to the blockchain on behalf of a plurality of tenants of the host organization, creates a consensus group on the blockchain and associates the consensus group with a specific transaction type for transactions to be processed via the blockchain. The system further assigns participating nodes to the consensus group and grants increased weight consensus voting rights to the consensus group.


