Dynamic Cloud Service Provisioning Network Manager
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Solution Overview
Problem
Current communication services between enterprise sites and cloud-based services face limitations due to the need for predicting service needs in advance, leading to inefficient resource utilization and additional costs, as dynamic provider-based network services are not universally available.
Innovation Solution
A system and method for dynamically determining network services based on consumer needs, utilizing a network manager that interacts with customer profiles and policies to validate requests and provision communication services, enabling dynamic provisioning of virtual private networks and bandwidth on demand.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If enterprises predict service needs in advance and provision capacity beforehand, then service availability is improved, but resource utilization efficiency deteriorates due to over-provisioning
Solution Approach 1:
The patent implements dynamic service provisioning that automatically adjusts network capacity allocation based on real-time traffic monitoring and demand detection. The system transitions from static pre-provisioning to dynamic on-demand provisioning, where resources are allocated when needed and released when not needed, resolving the contradiction between maintaining service availability and improving resource utilization efficiency
Solution Approach 2:
The system enables self-service capabilities where the network automatically detects demand patterns and provisions services without manual intervention. The automated service provisioning system monitors traffic, identifies needs, and allocates resources autonomously, eliminating the waste of over-provisioning while ensuring services are available when required
2Productivity
If enterprises order additional services for unpredictable needs, then service capacity is improved, but provisioning time increases and costs rise
Solution Approach 1:
The system performs preliminary actions by pre-configuring the service provisioning framework and maintaining ready-to-deploy service templates. When demand is detected, the system can rapidly instantiate services using pre-prepared configurations, significantly reducing provisioning time compared to traditional ordering and manual setup processes
Solution Approach 2:
The patent implements continuous feedback loops where traffic monitoring data feeds into demand prediction algorithms, which automatically trigger service provisioning decisions. This closed-loop system enables rapid response to unpredictable needs by continuously learning from traffic patterns and automatically acting on detected demands without manual intervention
3Adaptability or versatility
If cloud service providers build overlays with IP tunneling for enterprise connectivity, then connection flexibility is improved, but network complexity increases and underlay network capabilities are not utilized
Solution Approach 1:
The patent makes the underlay network service provider network universally capable of providing diverse connectivity services directly. Instead of requiring specialized overlay protocols for different connection types, the underlay network is configured to natively support multiple service types (VPN, broadband, dedicated connections) through a unified service provisioning framework, reducing the need for complex overlay implementations
Solution Approach 2:
The system introduces an automated service provisioning system as an intermediary layer between enterprise demands and underlay network capabilities. This intermediary translates high-level service requirements into appropriate underlay network configurations, eliminating the need for enterprises to implement complex overlay protocols while maintaining connection flexibility through automated service orchestration
Data Source
AI summary
An approach for cloud provisioning of consumer services based on requested services. The approach uses customer request for services and current network utilization patterns to most efficiently and effectively provision network resources. For example, a network manager establishes one or more terms for a cloud provider based on one or more provider network provisions. The network manager further determines a customer profile subscription based on customer credentials, cloud provider credentials, and a combination thereof. Then, the network manager delivers one or more credentials based on the cloud provider, and generates a routing path to the cloud provider based on the subscription and/or service request.