VNF Performance Monitoring Threshold Adjustment
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Solution Overview
Problem
In mobile communication networks post-network function virtualization, the fixed processing capacity of traditional network elements becomes dynamic due to allocated virtual resources, necessitating a reset of performance warning thresholds, but existing solutions lack a technical approach for dynamic adjustment.
Innovation Solution
A method and system where the Element Management (EM) receives threshold policies from Network Management (NM) or Operation Support System (OSS), acquires information about virtual resource changes, and sets new performance monitoring thresholds for Virtual Network Functions (VNFs), including scale up/down and performance warning thresholds, to dynamically adjust monitoring based on resource conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the processing capacity of network elements is made dynamic through network function virtualization, then resource allocation flexibility is improved, but the complexity of performance monitoring threshold management increases
Solution Approach 1:
The patent implements dynamic threshold adjustment by automatically resetting performance monitoring thresholds when VNF virtual resource allocations change. The EM receives threshold policies from NM/OSS, monitors VNF resource changes, and dynamically resets thresholds to match current resource allocations, transforming the static threshold management into a dynamic adaptive system.
Solution Approach 2:
The patent establishes a feedback loop where the EM continuously monitors VNF virtual resource changes and automatically triggers threshold resetting. The system receives feedback about resource allocation changes from VNFM/VIM, processes this information, and adjusts thresholds accordingly, creating a closed-loop control system that adapts to changing conditions.
2Ease of operation
If performance monitoring thresholds are manually configured for virtualized network functions, then initial monitoring capability is provided, but the thresholds become outdated when virtual resources are scaled
Solution Approach 1:
The patent enables the performance monitoring system to serve itself by automatically detecting VNF resource changes and resetting thresholds without manual intervention. The EM autonomously monitors resource allocation changes from VNFM/VIM and triggers threshold resetting, eliminating the need for operators to manually update thresholds when resources are scaled.
Solution Approach 2:
The patent receives and stores threshold policies from NM/OSS in advance, preparing the configuration data before it is needed. When VNF resource changes occur, the EM can immediately apply the pre-received threshold policies to reset thresholds, reducing the response time and ensuring thresholds are updated promptly.
3Device complexity
If fixed thresholds are used for virtualized network functions, then monitoring implementation is simplified, but false performance warnings increase due to resource changes
Solution Approach 1:
The patent implements a feedback mechanism where the EM monitors VNF resource changes from VNFM/VIM and automatically triggers threshold resetting. This closed-loop approach ensures thresholds remain synchronized with actual resource allocations, preventing false warnings that would occur with static thresholds while keeping the monitoring implementation relatively simple.
Data Source
AI summary
A method and corresponding system for implementing Virtual Network Function (VNF) performance monitoring is provided. The method includes that: an Element Management (EM) receives a threshold policy of a VNF performance monitoring threshold sent by a Network Management (NM) or an Operation Support System (OSS); the EM acquires related information about virtual resources after the VNF is scaled up/down; and the EM sets a new performance monitoring threshold for the VNF according to the threshold policy and the related information about virtual resources after the VNF is scaled up/down, and the performance monitoring threshold includes at least one of a scale up/down threshold and a performance warning threshold.


