Optical Private Line Provisioning via Intent-Based Resource Allocation
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Solution Overview
Problem
Traditional network operation and management methods are inefficient in managing complex and variable service demands of private lines, lacking agility and dynamic resource adjustment capabilities.
Innovation Solution
Implementing an Intent-Based Optical Network (IBON) architecture that automatically collects and analyzes intention information, generates intention indicators and elements, and determines an intention resource allocation strategy using AI and digital twins to dynamically allocate network resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional manual network operation and management methods are used to manage private lines, then the network management process is simple and straightforward, but the service agility is insufficient and the system cannot meet complex and variable service demands
Solution Approach 1:
The patent introduces an Intent-Based Networking (IBN) system as an intermediary layer between user service intentions and network resource allocation. This IBN system automatically translates high-level service intentions into specific network configuration parameters, eliminating the need for manual network management while adapting to complex and variable service demands. The intermediary processes intent information, generates intention indicators, and allocates resources dynamically without requiring users to manage network complexity directly.
2Adaptability or versatility
If static resource allocation systems are used, then the network structure is simple and stable, but the system cannot flexibly meet dynamic service demands
Solution Approach 1:
The patent implements dynamic resource allocation by continuously monitoring service demands and automatically adjusting network resource allocation in real-time. The system uses intent information from users to dynamically generate intention indicators and allocate resources accordingly, transforming the static network into a dynamic system that adapts to changing service requirements without manual intervention.
Solution Approach 2:
The patent establishes a feedback mechanism where the system continuously monitors service performance and resource allocation effectiveness, then uses this feedback to refine future resource allocation decisions. The IBN system learns from actual service outcomes and adjusts its intention translation and resource allocation strategies to better meet service demands over time.
3Productivity
If manual private line configuration methods are used, then the configuration process is simple and transparent, but the operation and maintenance efficiency is low
Solution Approach 1:
The patent enables the network system to self-configure and self-manage private lines by automatically translating user intentions into network configurations. The IBN system handles resource allocation, provisioning, and optimization tasks autonomously without requiring manual network administrator intervention, significantly improving operation and maintenance efficiency while reducing human workload.
Data Source
AI summary
A private line configuration method, an optical network, a device and a readable storage medium are disclosed. The method may include, acquiring intention information of a private line, where the intention information comprises a demand for a resource allocation of the private line; determining an intention indicator and an element corresponding to the intention indicator according to the intention information, where the element is indicative of a rule to be followed in the resource allocation according to the intention indicator; determining an intention resource allocation strategy for the private line according to the intention indicator and the element; and allocating the private line with a private line network resource according to the intention resource allocation strategy.