NFV Intent Management With Status-Aware Translation
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Solution Overview
Problem
Current telecommunications technologies lack a technical solution for implementing intent translation in the context of network functions virtualisation (NFV) management domains, leading to inconsistencies and errors in intent translation results due to mismatched status information between locally maintained and actual network object statuses.
Innovation Solution
An intent management method and apparatus that translates intents based on the status of management objects within the NFV MANO domain, performing feasibility checks and status updates to ensure accurate and consistent intent translation, including management operations and notifications for management objects with defined relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If intent translation is performed without considering the status of management objects, then the translation process is simple and fast, but the accuracy and reliability of translation results deteriorate due to inconsistencies between local and actual statuses
Solution Approach 1:
The intent management entity performs preliminary status acquisition before intent translation. It proactively obtains the status of management objects from the MANO entity and stores it locally in advance, ensuring that the status information is ready when translation is needed, thereby improving accuracy without adding significant complexity to the overall process
Solution Approach 2:
The system establishes a feedback mechanism where the intent management entity periodically updates its local status information from the MANO entity. This continuous feedback loop ensures that the local status remains consistent with actual network states, resolving the contradiction between translation speed and accuracy
2Measurement precision
If the intent management entity maintains up-to-date status information from the MANO entity, then the accuracy of intent translation is improved, but the information loss and synchronization delays increase
Solution Approach 1:
The intent management entity continuously monitors and updates status information from the MANO entity in a continuous manner rather than periodically. This continuous synchronization ensures that status information is always current, eliminating information loss and synchronization delays while maintaining high precision
Solution Approach 2:
The system employs self-service mechanisms where the intent management entity automatically subscribes to status notifications from the MANO entity and autonomously updates its local database without external intervention. This self-synchronizing approach ensures real-time accuracy without requiring additional manual coordination
Data Source
AI summary
Embodiments of this application provide an intent management method and apparatus, to detail an implementation process of intent translation. In the method, an intent management entity receives an intent creation request message from an OSS/BSS, where the intent creation request message is used to request to create a first intent for a first management object (S401). The intent management entity translates the first intent based on first information, to obtain management operation information corresponding to the first intent, where the first information indicates a status of the first management object (S402); and the intent management entity sends the management operation information to a MANO entity (S406).