Network Capacity Monitoring via Auto-Evaluation and Feedback
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Solution Overview
Problem
Service providers in dynamic networks face challenges in manually monitoring and tracking dynamically changing network capacity, leading to cumbersome and expensive processes, as well as inaccurate reporting and system modifications, which can result in incorrect activation of new services and failure to meet Service Level Agreement (SLA) requirements.
Innovation Solution
A system that includes an auto capacity evaluation component to calculate available network capacity, a service activation component to determine if new services can be activated based on SLA requirements, and a feedback mechanism to update capacity changes, allowing for automatic monitoring and tracking of network topology and capacity, enabling efficient activation or rejection of new services and expansion of network capacity as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual monitoring of network capacity is used, then service providers can track capacity changes, but the process becomes cumbersome and expensive
Solution Approach 1:
The network elements automatically monitor and report their own capacity status without requiring manual intervention. The system self-updates capacity information by detecting changes in network topology and resource availability, eliminating the need for manual monitoring while maintaining accurate capacity tracking
Solution Approach 2:
The system implements automatic feedback mechanisms where network elements continuously report their capacity status to the network management system. This feedback loop enables real-time capacity tracking without manual effort, allowing the system to adapt to changing network conditions automatically
2Measurement precision
If manual monitoring of network capacity is used, then capacity changes can be tracked, but reporting accuracy decreases
Solution Approach 1:
Network elements automatically monitor and report their own capacity status without requiring manual intervention. The system self-updates capacity information by detecting changes in network topology and resource availability, eliminating the need for manual monitoring while maintaining accurate capacity tracking
Solution Approach 2:
The patent replaces manual mechanical monitoring processes with automated electronic systems. Network elements automatically detect and report capacity changes through digital communication protocols, substituting human operators with automated systems that provide more consistent and accurate reporting
3Reliability
If manual capacity tracking is used, then service activation decisions can be made, but system modifications become incorrect
Solution Approach 1:
The system implements automatic feedback mechanisms where network elements continuously report their capacity status to the network management system. This feedback loop enables real-time capacity tracking without manual effort, allowing the system to adapt to changing network conditions automatically
Solution Approach 2:
The system performs preliminary capacity assessment automatically before service activation. By pre-evaluating available capacity and predicting the impact of proposed services, the system ensures accurate capacity information is available before making activation decisions, preventing incorrect system modifications
Data Source
AI summary
A capacity aware system that facilitates activation of a new service in a dynamic network is provided. The system calculates the available capacity of the network, at a given time, and determines if sufficient capacity is available for new service activation as per the SLA (Service Level Agreement) requirements. If SLA conditions are satisfied, the system can active a new service and update the network capacity, else, if the conditions are not satisfied the system can provide means to extend network capacity or reject the service. Thus, the system activates a new service only if the specified bandwidth is available and ensures that the SLA being promised to a customer is met.