Network Orchestrator Auto-Association with NMS
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Solution Overview
Problem
In large-scale networks, manual configuration of new network devices with existing network management systems (NMS) is error-prone and inefficient, leading to suboptimal network management and reduced throughput due to the need for multiple NMS instances and extensive manual intervention.
Innovation Solution
A network orchestrator system determines a probability score for each NMS instance based on the characteristics of network devices and instances, automatically selecting the most suitable instance for association, thereby reducing manual intervention and optimizing network performance dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual configuration is used to associate network devices with NMS instances, then network administrators can directly control the association process, but the process becomes error-prone and inefficient
Solution Approach 1:
The network device automatically associates with an NMS instance by selecting from available instances based on its own characteristics and the instances' capabilities, eliminating the need for manual administrator intervention. The device performs self-configuration by evaluating compatibility metrics and autonomously establishing the association.
Solution Approach 2:
The system pre-configures multiple NMS instances with their respective capabilities and characteristics before network devices need to associate. This preliminary setup allows devices to automatically select the most suitable instance without requiring real-time manual configuration, improving both speed and accuracy.
2Adaptability or versatility
If multiple NMS instances are deployed to manage large-scale networks, then the system can handle more network devices, but manual configuration becomes more complex and time-consuming
Solution Approach 1:
The association system dynamically evaluates compatibility between network devices and NMS instances based on real-time characteristics and capabilities. The selection process adapts to the specific needs of each device and the current state of available instances, automatically optimizing the association without requiring complex manual configuration.
Solution Approach 2:
The system introduces an automated selection mechanism that acts as an intermediary between network devices and NMS instances. This intermediary evaluates compatibility metrics and makes the association decision, simplifying the complexity that would otherwise require manual administrator intervention for each device-instance pairing.
3Measurement precision
If manual evaluation and selection of NMS instances is performed, then administrators can make informed decisions, but the process is repetitive and error-prone
Solution Approach 1:
The network device automatically performs the evaluation and selection process by comparing its characteristics with the capabilities of available NMS instances. This self-service approach eliminates repetitive manual evaluation while maintaining selection accuracy through automated compatibility assessment based on predefined criteria.
Solution Approach 2:
The system replaces the manual mechanical process of administrator evaluation and selection with an automated computational system. This substitution uses algorithms to evaluate compatibility metrics and make selection decisions, eliminating human errors and repetitive tasks while maintaining or improving selection precision.
Data Source
AI summary
Examples described herein provide for associating a network device to a network management system (NMS). Examples herein include determining, by a network orchestrator, a set of embeddings indicative of characteristics of the network device and each of a plurality of instances of the NMS. Examples herein include determining, by the network orchestrator for each of the plurality of instances, a probability score based on the set of embeddings, wherein the probability score is indicative of a likelihood of the network device to be associated with the instance. Examples herein further include, based on the probability score for each of the plurality of instances, selecting, by the network orchestrator, a first instance of the plurality of instances to associate with the network device. Examples herein include associating, by the network orchestrator, the network device to the first instance.