Intelligent DLT Network Provisioning Engine
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Solution Overview
Problem
Current systems require weeks to provision a distributed ledger technology (DLT) network according to user specifications, necessitating a more efficient method for intelligent provisioning.
Innovation Solution
A system comprising processor and memory components with computer-readable instructions that receive user requests for DLT network parameters, generate scripts to provision permissioned and non-permissioned nodes, and execute these scripts to create a customized DLT network, utilizing an intelligent DLT network provisioning engine with components like a script generator, API layer, DLT identifier/handler, interface handler, status collator, and command sequencer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual provisioning process is used for DLT network, then customization requirements can be met, but provisioning time becomes excessively long (several weeks)
Solution Approach 1:
The system performs preliminary actions by pre-configuring DLT network templates with common parameters and structures. When a provisioning request is received, the system retrieves and customizes these pre-prepared templates rather than building networks from scratch, dramatically reducing provisioning time while maintaining customization capability through parameter adjustment.
Solution Approach 2:
The system creates and maintains copies of successfully configured DLT network templates that can be reused across multiple provisioning requests. Instead of manually configuring each network individually, the system replicates proven configurations and adapts them to specific user requirements, ensuring consistency and reducing provisioning effort.
2Productivity
If automated scripting is implemented for DLT network provisioning, then provisioning speed increases, but system complexity increases
Solution Approach 1:
The system introduces an intermediary provisioning engine that acts as a mediator between user requests and the complex DLT network configuration process. This engine translates high-level user requirements into detailed configuration scripts, managing the complexity internally while presenting a simple interface to users. The intermediary layer handles script generation, parameter validation, and coordination of provisioning activities.
Solution Approach 2:
The provisioning system is divided into distinct modular components including template management, script generation, parameter validation, and execution coordination. Each module handles specific aspects of the provisioning process independently, making the overall complex system manageable through clear separation of concerns. This segmentation allows the system to maintain high productivity while organizing complexity into manageable segments.
Data Source
AI summary
A system for intelligently provisioning a distributed ledger technology (DLT) network may be configured to receive requests from authorized users to provision a DLT network based on a plurality of preset parameters. The system may further be configured to generate one or more script, using machine learning or other artificial intelligence algorithms, for provisioning the DLT network according to the preset parameters. One or more nodes in the DLT network can then execute the intelligently generated script to provision the DLT network as requested.