Network Opportunity Discovery System for Automated Infrastructure Provisioning
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Solution Overview
Problem
Current infrastructure management approaches fail to leverage comprehensive topological data for IT infrastructure, leading to inefficiencies in billing, cost allocation, and underutilization of capabilities, particularly for Mobile Virtual Network Operators (MVNOs) and companies lacking end-user license agreements, resulting in missed opportunities for asset awareness and cost benefits.
Innovation Solution
A system and method that utilizes vendor-provided topological asset data to enable automated network sales offerings, zero-touch provisioning, and infrastructure management, allowing vendors to access and analyze enterprise infrastructure for informed decision-making and automated onboarding without human intervention, leveraging extensive topography and topology information to enhance infrastructure capabilities and operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional separate management of IT infrastructure and telco services is maintained, then current operational simplicity is preserved, but billing accuracy, cost allocation, and IT management efficiency deteriorate
Solution Approach 1:
The patent combines previously separate IT infrastructure management and telco services management into a unified system. The NODS platform integrates data from both IT asset management systems and telco network systems, creating a single comprehensive view that enables accurate billing and cost allocation across both domains while maintaining manageable complexity through automated processes.
Solution Approach 2:
The NODS platform acts as an intermediary layer between IT infrastructure systems and telco services systems. It collects topological asset data from IT systems, correlates it with telco network data, and generates unified billing and provisioning information, thereby resolving the contradiction by mediating between the two previously separate management domains.
2Productivity
If comprehensive topological asset data is collected and analyzed, then infrastructure capability discovery and automated provisioning improve, but system complexity and data processing requirements increase
Solution Approach 1:
The NODS platform enables self-service automated provisioning by automatically discovering infrastructure capabilities, correlating them with service requirements, and executing provisioning actions without human intervention. The system uses AI/ML algorithms to autonomously analyze topological asset data, identify suitable infrastructure assets, and configure services, thereby high productivity while managing complexity through automation rather than manual processes.
Solution Approach 2:
The system performs preliminary actions by continuously collecting and analyzing topological asset data in advance, building a comprehensive infrastructure profile before service provisioning is needed. This pre-processing and pre-analysis of data enables rapid automated provisioning when services are required, improving productivity while the complexity is distributed over time through incremental data collection and analysis.
3Measurement precision
If AI/ML algorithms are used for automated infrastructure assessment and service matching, then opportunity discovery accuracy improves, but computational requirements and processing time increase
Solution Approach 1:
The NODS platform performs preliminary actions by continuously pre-processing and analyzing topological asset data using AI/ML algorithms before service provisioning requests are made. This ongoing background analysis builds trained models and infrastructure profiles in advance, so when a provisioning request occurs, the system can quickly match services to infrastructure using pre-computed insights, thereby maintaining high accuracy while reducing actual processing time at the point of need.
Data Source
AI summary
One example method includes various processes performed by a vendor system including discovering infrastructure assets of a subscriber system, determining that the vendor system is permitted by the subscriber system to access information about the infrastructure assets of the subscriber system, accessing the information about the infrastructure assets of the subscriber system, assessing an ability of the infrastructure assets of the subscriber system to implement a service offering of the vendor system, and the assessing is based on the information about the infrastructure assets, and implementing the service offering in the infrastructure assets of the subscriber system when (i) given permission to do so by the subscriber system and (ii) the infrastructure assets have been determined to be able to implement the service offering.