API-Based CCP Provisioning for Near-Real-Time Trunk Scaling
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Solution Overview
Problem
Traditional methods for changing concurrent call paths (CCPs) require manual intervention and can take several days, increasing customer costs and inefficiency.
Innovation Solution
Implementing API-based CCP provisioning that allows near-real-time adjustments to CCPs and trunk groups based on network utilization data, reducing human interaction and enabling rapid changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual monitoring and ordering of CCP changes is used, then service provisioning can be implemented, but implementation time increases to several days and customer costs increase
Solution Approach 1:
The patent replaces manual mechanical processes (personnel monitoring traffic, manually calling to order changes) with an automated API-based electronic system. The API receives CCP provisioning requests, automatically determines trunk group assignments, and provisions CCPs without human intervention, reducing implementation time from several days to minutes.
Solution Approach 2:
The system enables self-service provisioning where the API autonomously processes CCP provisioning requests by automatically determining trunk group assignments and provisioning parameters without requiring manual customer service intervention. The system serves itself by making intelligent decisions based on received requests and network data.
2Productivity
If manual CCP provisioning is used, then service changes can be made, but customer costs increase due to manual intervention
Solution Approach 1:
The patent replaces manual mechanical processes (personnel monitoring traffic, manually calling to order changes) with an automated API-based electronic system. The API receives CCP provisioning requests, automatically determines trunk group assignments, and provisions CCPs without human intervention, reducing implementation time from several days to minutes.
Solution Approach 2:
The system enables self-service provisioning where the API autonomously processes CCP provisioning requests by automatically determining trunk group assignments and provisioning parameters without requiring manual customer service intervention. The system serves itself by making intelligent decisions based on received requests and network data.
3Loss of time
If API-based CCP provisioning is implemented, then provisioning time is reduced to minutes, but system complexity increases
Solution Approach 1:
The patent introduces an API as an intermediary layer between the customer and the network provisioning system. The API receives provisioning requests, automatically determines trunk group assignments using received data, and coordinates with the network system to provision CCPs. This intermediary automates complex decision-making processes, reducing implementation time while managing system complexity through structured interfaces.
Data Source
AI summary
Novel tools and techniques are provided for implementing application programming interface (“API”)-based concurrent call path (“CCP”) provisioning. In various embodiments, in response to receiving a CCP provisioning request, a computing system may determine whether such a request would affect a set of trunk groups assigned to a customer based at least in part on network utilization data. If not, the computing system may cause the nodes in the network to increase or decrease, in near-real-time, the number of CCPs in at least one trunk group assigned to the customer based on the CCP provisioning request. If so, the computing system may cause the nodes in the network to increase or decrease, in near-real-time, the number of trunk groups assigned to the customer and may cause the nodes in the network to increase or decrease, in near-real-time, the number of CCPs in the updated number of trunk groups.