Intelligent DLT Application Deployment System
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Solution Overview
Problem
Developing DLT-based applications that can be implemented on various DLT platforms such as Ethereum, Hyperledger, and Corda is challenging, as different versions are required for each platform, necessitating a system that can intelligently deploy, install, and register applications across diverse DLT networks.
Innovation Solution
A system comprising processor components, memory components, and computer-readable instructions that receive deployment requests, identify compatible DLT networks, generate deployment scripts, and execute them to install application code on DLT nodes, leveraging AI and machine learning to analyze code characteristics and network compatibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users develop different versions of applications for each DLT platform, then the application can be implemented on various DLT networks, but the development complexity and time required increase significantly
Solution Approach 1:
The patent creates a universal deployment system that can deploy applications across multiple DLT networks (Ethereum, Hyperledger, Corda, etc.) using a single application version. The system analyzes application code characteristics and automatically generates appropriate deployment scripts for different networks, eliminating the need to develop separate versions for each platform while maintaining broad compatibility
Solution Approach 2:
The patent introduces an intermediary deployment system that acts as a bridge between the application code and various DLT networks. This intermediary analyzes the application characteristics, identifies compatible networks, and generates the necessary deployment scripts, thereby simplifying the development process while ensuring multi-network compatibility
2Adaptability or versatility
If users manually deploy applications to each DLT network, then deployment control is maintained, but the time and effort required for deployment increase
Solution Approach 1:
The patent implements a self-service deployment system that automatically analyzes application code, identifies compatible DLT networks, generates deployment scripts, and executes deployment without manual intervention. The system serves itself by making intelligent decisions about where and how to deploy applications, dramatically improving deployment efficiency while maintaining the ability to deploy to multiple networks
Solution Approach 2:
The patent performs preliminary analysis of application code characteristics before deployment to identify compatible DLT networks and generate appropriate deployment scripts in advance. This preliminary action enables automated deployment decisions and script generation, reducing the time and effort required for actual deployment while maintaining flexibility in network selection
3Productivity
If a single application code is deployed to multiple DLT networks, then deployment efficiency improves, but compatibility issues may arise across different network implementations
Solution Approach 1:
The patent applies local quality by generating network-specific deployment scripts tailored to each DLT network's characteristics while deploying the same application code. The system analyzes the application code and creates customized deployment instructions for each target network (Ethereum, Hyperledger, Corda, etc.), ensuring compatibility with each network's specific requirements while maintaining a single application version
Solution Approach 2:
The patent changes deployment parameters dynamically based on the target DLT network's characteristics. The system analyzes application code and adjusts deployment script parameters (such as network protocol requirements, consensus mechanism configurations, and node communication protocols) to match each specific network's implementation, thereby ensuring compatibility across different networks while deploying a single application
Data Source
AI summary
A system for intelligently deploying applications to nodes on a distributed ledger technology (DLT) network may receive requests from authorized users to deploy DLT-based applications to one or more nodes in a DLT network. The system may further identify the DLT network for deploying the application by analyzing a set of characteristics associated with the application with a set of characteristics associated with a DLT network. The system may also generate deployment scripts for the applications that include instructions compatible with the identified DLT network and to be performed by the one or more nodes to implement the application code.