Cloud Orchestrator Dynamic Service Provisioning
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Solution Overview
Problem
Current communication service provisioning is static and inefficient, leading to underutilization of network resources and increased costs, as it does not dynamically adapt to user demands.
Innovation Solution
A cloud orchestrator system that determines a cloud provider identifier and validates requests to provision communication services dynamically, optimizing resource allocation and utilization through a set of schema and modules for on-demand provisioning of network services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static provisioning is used, then service stability is maintained, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic service provisioning that automatically adjusts communication service allocation based on real-time network conditions and user demand. The system transitions from static pre-configured services to dynamic services that can be provisioned, modified, or released on-demand, thereby improving resource utilization efficiency while maintaining service stability through automated control mechanisms.
2Ease of operation
If static provisioning is used, then service delivery is simple, but network revenue potential deteriorates
Solution Approach 1:
The patent implements automated service provisioning systems that enable self-service capabilities for both network operators and users. The system automatically processes service requests, allocates resources, and manages billing without manual intervention, thereby maintaining operational simplicity while unlocking revenue potential through on-demand service delivery and optimized resource utilization.
3Productivity
If dynamic provisioning is implemented, then resource utilization efficiency is improved, but system complexity increases
Solution Approach 1:
The patent introduces automated provisioning systems and intelligent controllers as intermediaries between network resources and users. These intermediary components manage the complexity of dynamic resource allocation by automating service provisioning, resource monitoring, and coordination tasks, thereby achieving high resource utilization efficiency without exposing the underlying system complexity to end users or operators.
4Loss of energy
If dynamic provisioning is implemented, then network revenue is maximized, but implementation cost increases
Solution Approach 1:
The patent implements universal provisioning systems that can handle multiple service types and deployment scenarios through a single integrated platform. The automated service provisioning infrastructure is designed to be multi-functional, supporting various communication services, resource allocation models, and billing mechanisms, thereby maximizing network revenue potential while reducing implementation costs by avoiding multiple separate systems.
Data Source
AI summary
An approach is provided for determining a cloud provider identifier associated with a request to provision one or more communication services. The approach further involves validating the request by matching the cloud provider identifier against another copy of the cloud provider identifier associated with a session over which the provisioning request was received.