Distributed Ledger Segmentation for Concurrent Transaction Processing
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Solution Overview
Problem
Existing distributed systems of record, such as content delivery networks and blockchain networks, face challenges in achieving high performance, low latency, and secure transaction processing, especially when dealing with large volumes of concurrent transactions.
Innovation Solution
The implementation of a high-performance distributed ledger and transaction computing network fabric that organizes data in a segmented manner within autonomous computing nodes, allowing for concurrent communication, processing, and storage of blockchain blocks with minimal synchronization, and introduces confidence-based consensus and automated fork resolution mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional blockchain consensus mechanisms are used, then security and data integrity are maintained, but transaction processing speed and system performance deteriorate due to extensive synchronization requirements
Solution Approach 1:
The patent segments the blockchain network into multiple autonomous zones, each capable of independent transaction processing and block validation. This segmentation allows parallel processing across zones while maintaining overall system integrity through periodic cross-zone verification, thereby improving transaction throughput without sacrificing data integrity.
Solution Approach 2:
The patent implements preliminary validation and verification mechanisms at the zone level before blocks are propagated across the entire network. Transactions are validated locally within zones first, and only after passing these preliminary checks are they included in blocks that are then synchronized across zones, reducing the overall synchronization overhead while maintaining security.
2Loss of time
If extensive synchronization is implemented across all nodes, then data consistency is ensured, but system latency and processing overhead increase
Solution Approach 1:
By dividing the network into autonomous zones that maintain local data consistency independently, the patent eliminates the need for continuous full-network synchronization. Each zone synchronizes with others only at block boundaries, significantly reducing synchronization frequency and latency while maintaining overall data consistency across the distributed system.
3Productivity
If autonomous computing nodes operate independently, then system scalability and performance improve, but coordination overhead and complexity increase
Solution Approach 1:
The patent organizes autonomous nodes into zones with clearly defined boundaries and responsibilities. Each zone operates independently but follows standardized protocols for inter-zone communication and block verification, reducing coordination complexity through structured organization while maintaining scalability.
Solution Approach 2:
The patent introduces confidence-based consensus mechanisms that dynamically adjust verification parameters based on zone reputation and transaction risk profiles. This allows the system to scale by adding zones while maintaining coordination simplicity through adaptive parameter adjustment rather than rigid protocols.
4Loss of time
If confidence-based consensus is implemented, then transaction finality speed increases, but the complexity of consensus algorithms and verification processes increases
Solution Approach 1:
The patent implements confidence-based consensus by adjusting verification parameters such as the number of required confirmations and trust thresholds based on transaction characteristics and zone reputation. This allows fast finality for low-risk transactions while maintaining security through more rigorous verification for high-risk transactions, achieving speed improvements without uniformly increasing algorithmic complexity.
Data Source
AI summary
A high-performance distributed ledger and transaction computing network fabric over which large numbers of transactions are processed concurrently in a scalable, reliable, secure and efficient manner. In one embodiment, the computing network core is configured to support a distributed blockchain network that organizes data in a manner that allows communication, processing and storage of blocks of the chain to be performed concurrently at very high performance and low latency, even when the transactions themselves originate from distant sources. This data organization relies on segmenting a transaction space within autonomous but cooperating computing nodes that are configured as a processing mesh. The system also provides for confidence-based consensus and automated fork resolution. The approach enables the blockchain to continue operating in the presence of an underlying network outage, and to enable clients to make decisions about the disposition of transactions during any period of uncertainty before full consensus has been achieved.