SD-OAM Network Management Automation
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Solution Overview
Problem
Current approaches for deploying and managing enterprise networks are complex and time-consuming, requiring extensive configuration and administration by skilled engineers, and are hindered by the integration of wired and wireless devices, mobility, Bring Your Own Device (BYOD) capabilities, and the challenges posed by Internet-of-Things (IoT) devices and Wi-Fi access.
Innovation Solution
The implementation of Software Defined Operations, Administration, and Maintenance (SD-OAM) systems, which utilize Software Defined Service Assurance Points (SD-SAPs) to collect and analyze local status, statistics, and analytics from device nodes, and communicate with a controller to trigger automated workflows for service assurance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual configuration and administration by skilled network engineers is used to deploy and manage enterprise networks, then network security and reliability can be maintained, but the complexity of deployment and management increases significantly and time consumption increases
Solution Approach 1:
The network system performs self-configuration, self-diagnosis, and self-healing through automated workflows. Service assurance points continuously monitor network conditions and automatically trigger remediation actions without human intervention, enabling the network to manage itself while maintaining security through embedded policy enforcement.
Solution Approach 2:
A centralized controller acts as an intermediary between network devices and management functions. The controller coordinates service assurance points, workflows, and policy enforcement across the network, simplifying management complexity by providing a single point of control while maintaining security through centralized policy management.
2Ease of operation
If manual configuration and administration by skilled network engineers is used to deploy and manage enterprise networks, then proper network management can be achieved, but the time required for deployment and management increases
Solution Approach 1:
Service assurance points are pre-configured with diagnostic capabilities and automated workflows are pre-defined with remediation actions. When issues are detected, the system immediately executes pre-prepared workflows, eliminating the need for manual troubleshooting and significantly reducing resolution time while simplifying operations.
Solution Approach 2:
The system continuously collects network performance data through service assurance points and provides real-time feedback to the controller. This feedback loop enables automatic adjustment of network parameters and triggers remediation workflows, improving ease of operation by providing visibility and automated response without manual intervention.
3Productivity
If automated workflows are implemented for service assurance, then the need for manual intervention is reduced and productivity increases, but the system complexity increases
Solution Approach 1:
The automated system is segmented into independent functional modules: service assurance points for monitoring, workflow engines for coordination, and remediation modules for execution. Each module performs a specific function and can be independently configured and maintained, reducing system complexity while enabling high productivity through automation.
Data Source
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AI summary
Systems and methods provide for algorithmic problem identification and resolution in fabric networks by software defined operation, administration, and maintenance.