Distributed Edge Data Synchronization for Legacy Trust Systems
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Solution Overview
Problem
Traditional centralized data management systems face inefficiencies, high latency, security vulnerabilities, and challenges in real-time data synchronization and compliance with evolving regulatory requirements, particularly in trust management operations.
Innovation Solution
A distributed edge computing system is deployed across multiple nodes, including a Trust Management Organization (TMO) system and trustee locations, enabling real-time data processing, secure communication, and compliance monitoring, with edge computing devices handling tasks like transaction validation, encryption, and compliance checks locally.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If centralized data management systems are used, then data processing can be performed, but latency increases and real-time synchronization becomes difficult
Solution Approach 1:
The patent divides the centralized data management system into multiple distributed edge computing nodes deployed across different locations. Each node independently processes data locally, eliminating the need for all data to travel to a central server, thus reducing latency and improving processing speed while maintaining real-time synchronization capabilities.
2Reliability
If centralized servers are used, then data management can be performed, but security vulnerabilities and single points of failure increase
Solution Approach 1:
The patent segments the centralized server architecture into multiple distributed edge nodes, eliminating the single point of failure. Each node operates independently with local data processing capabilities, so if one node fails or is compromised, other nodes continue to function, thereby improving system reliability and reducing security vulnerabilities.
Solution Approach 2:
The patent implements local data processing and validation at each edge node, with data encrypted and validated before transmission. This local quality control reduces the attack surface for security breaches and ensures data integrity even if network communication is interrupted, thereby improving both security and reliability.
3Productivity
If centralized processing is used, then data can be managed, but the system creates bottlenecks due to high data traffic
Solution Approach 1:
The patent distributes the processing load across multiple edge computing nodes instead of concentrating it in a single centralized server. Each node handles local data processing independently, significantly reducing network traffic and eliminating bottlenecks, thereby improving overall data management efficiency while reducing the processing power requirements of any single node.
4Adaptability or versatility
If legacy systems are integrated, then existing infrastructure can be utilized, but data compatibility and synchronization become challenging
Solution Approach 1:
The patent introduces an intermediary layer at each edge node that includes data transformation and validation modules. These intermediaries convert data from various legacy system formats into a standardized format, enabling seamless integration with existing infrastructure while automatically handling synchronization complexities, thereby improving adaptability without increasing operational complexity.
Data Source
AI summary
Systems, computer program products, and methods are described herein for enhanced data management using distributed edge computing. An example TMO system receives data from trustee endpoint devices over a network. The data comprises trust-related information, which the system transforms for compatibility with existing legacy systems. The transformation process includes converting data formats, reconciling records, and synchronizing databases to integrate the transformed data with the legacy systems effectively. The example TMO system synchronizes trust-related data in real-time between the trustee endpoint devices and legacy systems, thereby maintaining consistent data states and providing real-time access to the data for authorized stakeholders via a secure web portal.