Dynamic Service Provisioning via State Difference Analysis
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Solution Overview
Problem
Service providers face a significant burden in continually generating new provisioning workflows due to changes in customer premises devices, scenarios, and network element models, leading to inefficiencies in service delivery.
Innovation Solution
A data-driven provisioning technique is employed, which dynamically identifies necessary actions based on the difference between the current and new service states of a customer, eliminating the need for predefined workflows by using a subscriber database and resource catalog to map service orders to network elements and configure resources accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If predefined provisioning workflows are used to deliver services to customers, then service delivery can be standardized and managed, but the service provider faces significant burden in continually generating new workflows due to changes in customer premises devices, scenarios, and network element models
Solution Approach 1:
The system enables automatic service provisioning by allowing the service state information and resource catalog to self-determine the necessary actions and network elements, eliminating the need for manual workflow creation and updating by service providers
Solution Approach 2:
The system dynamically adapts to changes in customer premises devices, scenarios, and network element models by updating service state information and resource catalog parameters, allowing the provisioning system to automatically adjust without requiring new workflows
2Adaptability or versatility
If the service provider maintains detailed information about service state and resource catalogs, then dynamic service provisioning can be achieved, but the system complexity increases
Solution Approach 1:
The service state information and resource catalog serve multiple functions: they store current service configuration, define desired service states, identify network elements, and determine provisioning actions, reducing the need for separate specialized systems for each function
Solution Approach 2:
The service state information acts as an intermediary between the order management system and the network elements, translating service orders into specific provisioning actions by comparing current and desired service states
Data Source
AI summary
In response to an order for a service from a customer, information pertaining to a service state change from a current service state to a new service state of the order is determined, where the current service state relates to a current service provided to the customer. In response to the information pertaining to the service state change, a network element of an infrastructure of network elements to provision is identified.