Logical-Physical Network Inventory Modeling for Legacy Adaptation
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Solution Overview
Problem
Legacy network systems struggle with complex and diverse network implementations, particularly in next-generation communications, as they often cannot be easily modified to accommodate changing network service requirements, leading to inefficiencies in resource allocation and deployment.
Innovation Solution
A system and method for logical and physical modeling of network equipment using configuration equipment that includes components for receiving requests, identifying models, transforming models, and provisioning network equipment, utilizing logical and physical process models to automate and standardize network deployments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If legacy systems are used to manage network equipment, then existing infrastructure can be maintained, but the systems cannot be easily modified to accommodate changing network service requirements
Solution Approach 1:
The system segments network inventory management into distinct logical components: physical inventory data, logical process models, and service requirement specifications. This segmentation allows each component to be independently modified and updated without affecting the entire legacy system, enabling adaptability while maintaining stability of existing infrastructure.
Solution Approach 2:
The patent introduces an intermediary layer consisting of logical process models that act as mediators between legacy systems and new network service requirements. These models serve as a buffer that allows modification of service requirements without directly altering the legacy system architecture, thus maintaining ease of manufacture while improving adaptability.
2Stability of the object's composition
If isolated legacy systems are used for network equipment management, then system stability is maintained, but resource allocation and deployment efficiency deteriorate
Solution Approach 1:
The patent creates universal logical process models that can serve multiple network services and equipment types simultaneously. These models are designed to be multi-functional, allowing a single model framework to handle diverse network service requirements, thereby improving resource allocation efficiency while maintaining system stability through a unified approach.
Solution Approach 2:
The system implements feedback mechanisms where logical process models continuously receive information about network service requirements and performance metrics, then adjust resource allocation and deployment strategies accordingly. This feedback loop enables efficient resource management while maintaining system stability through controlled, data-driven adjustments rather than radical changes.
3Adaptability or versatility
If complex network implementations are supported, then network service capabilities are enhanced, but system complexity and difficulty of management increase
Solution Approach 1:
The patent employs copying by creating standardized logical process model templates that can be replicated and instantiated multiple times for different network services. Instead of building complex systems from scratch for each service, the same proven model templates are copied and customized, thereby enhancing service capabilities while keeping management complexity low through reuse of established patterns.
Data Source
AI summary
The technologies described herein are generally directed to modeling network systems. For example, a method described herein can include receiving request data representative of a planning request for a network equipment project applicable to network equipment that is part of a network. Further, based on the request data and a logical inventory model of resources, the method can include identifying a logical process model for the network equipment project, corresponding to characteristics of service equipment applicable to the network equipment project. The method further includes transforming the logical process model into a physical process model that references the service equipment applicable to the network equipment project, and based on the request data and the physical process model, facilitating, for the network equipment project, the service equipment.


