Distributed Ledger Bifurcation for Parallel Transaction Processing
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Solution Overview
Problem
Current distributed transaction systems face challenges such as data siloing, limited throughput, scalability issues, and lack of interoperability, which hinder the adoption of decentralized applications and machine intelligence solutions.
Innovation Solution
The implementation of a bifurcated consensus mechanism and ledger partitioning, combined with multi-parallel processing of n-dimensional orthogonal fractalizations, allows for high throughput, scalability, and interoperability by separating transactional and storage data, enabling efficient data processing and storage across distributed networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is stored in a single centralized ledger, then data integrity and security are maintained, but throughput and scalability are limited
Solution Approach 1:
The patent divides the single centralized ledger into multiple parallel ledgers, each handling a subset of transactions. This segmentation allows simultaneous processing across multiple ledgers, dramatically increasing throughput while maintaining data integrity through cryptographic linking between ledgers.
Solution Approach 2:
The patent introduces an additional dimensional structure by organizing ledgers in a multi-layered architecture where ledgers are grouped into super-ledgers, which are further organized into ledger chains. This dimensional expansion allows parallel processing at multiple levels simultaneously.
2Adaptability or versatility
If all transaction data is stored in one ledger, then complete transaction history is available, but data siloing and interoperability issues occur
Solution Approach 1:
The patent creates a universal ledger structure where each ledger can independently store and process transactions while being part of a larger interconnected system. The standardized interface and cryptographic linking mechanisms enable different ledgers to interoperate seamlessly, allowing the system to serve multiple functions simultaneously.
Solution Approach 2:
The patent introduces cryptographic hash links and consensus mechanisms as intermediaries that connect separate ledgers. These intermediaries enable data sharing and verification across ledgers without requiring direct access to all underlying data, thus maintaining accessibility while preventing information loss.
3Speed
If cryptographic validation is performed on every transaction, then data integrity is ensured, but processing speed decreases
Solution Approach 1:
The patent segments cryptographic validation operations across multiple parallel ledgers, where each ledger performs validation independently on its subset of transactions. This parallelization of validation operations maintains data integrity while dramatically increasing processing speed through concurrent execution.
Solution Approach 2:
The patent implements preliminary cryptographic hashing of transaction data before full validation, creating compact representations that can be quickly verified. This preliminary action reduces the computational burden of subsequent validation steps while maintaining security and integrity guarantees.
Data Source
AI summary
A method of processing data stored in a distributive system may include receiving a data to be stored on a distributed ledger system; fractalizing the transaction data and/or storage data into a plurality of orthogonal components; determining a unique address on the distributed ledger system for each of the plurality of orthogonal components; partitioning the ledger into multiple portions or divisible shares; bifurcating the consensus mechanism between the partitioned ledgers; storing each of the plurality of orthogonal components at the corresponding address in a first ledger; and adding a new block to a second ledger, where the second ledger comprises the unique address on the distributed system for each of the plurality of orthogonal components.