Data Backbone Metablockchain Unifies Storage, Consensus, and Execution
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Solution Overview
Problem
Existing distributed systems lack a unified solution for data storage, consensus, data accessibility, linear scalability, and execution of complex distributed applications, requiring engineers to combine multiple disparate technologies, which increases complexity and cost.
Innovation Solution
A Data Backbone system that integrates data storage, consensus, and application execution into a single medium using a Metablockchain based on a SIC-DAG, enabling near-real-time processing and linear scalability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple disparate technologies are combined to achieve data storage, consensus, and application execution, then functional completeness is improved, but system complexity and engineering cost increase
Solution Approach 1:
The patent merges data storage, consensus mechanisms, and application execution into a single integrated distributed ledger system. This consolidation eliminates the need for separate technologies for each function, reducing system complexity while maintaining functional completeness through unified architecture.
Solution Approach 2:
The distributed ledger system is designed to perform multiple functions simultaneously: storing data, achieving consensus among participants, and executing distributed applications. This multi-functionality allows a single system to replace multiple specialized technologies, reducing overall system complexity.
2Adaptability or versatility
If multiple disparate technologies are integrated, then comprehensive functionality is achieved, but time-to-market increases
Solution Approach 1:
By combining data storage, consensus, and application execution into one integrated platform, the patent enables developers to deploy comprehensive solutions faster without needing to integrate multiple separate technologies, thus reducing time-to-market while maintaining full functionality.
3Adaptability or versatility
If multiple technologies are combined, then complete distributed system solution is achieved, but hardware costs increase
Solution Approach 1:
The integration of multiple functions into a single distributed ledger system reduces the need for separate hardware infrastructure for each technology component, thereby lowering overall hardware costs while delivering a complete distributed system solution.
Data Source
AI summary
From the enterprise cloud to robot swarms, distributed systems are everywhere. However, because these systems are realized through the careful coupling of disparate technologies (e.g., databases, messaging systems, and application runtimes), they are difficult to create and maintain—even for experienced engineers. This is a problem because the engineers of these systems have to work harder, be better trained, and thus cost more to employ, making it harder to create new products and inventions. A solution herein is a Data Backbone that provides a single medium for processing, storing, and sharing data in near-real-time. By combining these features into a single medium, the Data Backbone consolidates the functionality of several disparate tools into one system.