Model-Driven Orchestration for Virtualized Cloud Service Deployment

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Solution Overview

Problem

Current cloud application deployment lacks a centralized, model-driven methodology, leading to ad-hoc manual processes across disparate cloud, network, and application hosting infrastructures, with no integrated end-to-end automation.

Innovation Solution

A model-driven deployment process using a Topology and Orchestration Specification for Cloud Applications (TOSCA) standard to generate deployment orchestration plans, leveraging a master service orchestrator to automate cloud infrastructure, network configuration, and application setup through a centralized orchestration mechanism.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual ad-hoc deployment processes are used across disparate infrastructures, then flexibility in deploying to different cloud, network, and application hosting environments is maintained, but deployment time and complexity increase significantly

Engineering Contradiction:

Improvedeployment flexibilityVSAvoiddeployment time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The deployment process is segmented into distinct phases: cloud infrastructure deployment, network infrastructure deployment, and application hosting infrastructure deployment. Each phase has its own orchestration logic and can be executed independently, allowing the system to maintain flexibility while automating the overall process and reducing deployment time.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The deployment orchestration system dynamically adapts to different infrastructure types (cloud, network, application hosting) by selecting appropriate deployment strategies for each phase. The system can adjust the deployment sequence and parameters based on the specific requirements of each infrastructure layer, maintaining versatility while enabling automated execution.

Inventive Principle:

Principle #15Dynamics

2Device complexity

If manual deployment processes are used without centralized orchestration, then simplicity in process implementation is maintained, but deployment accuracy and consistency across infrastructures deteriorate

Engineering Contradiction:

Improveprocess complexityVSAvoiddeployment accuracy

Core Design Contradiction:

Device complexityVSManufacturing precision

Solution Approach 1:

The centralized orchestration system implements feedback mechanisms to monitor and verify deployment status across cloud, network, and application hosting infrastructures. Deployment configurations are validated at each phase, and the system can detect and correct inconsistencies, ensuring high deployment accuracy while maintaining manageable process complexity through automated control.

Inventive Principle:

Principle #23Feedback

3Productivity

If automated deployment orchestration is implemented across cloud, network, and application hosting infrastructures, then deployment speed and consistency improve, but system complexity and integration requirements increase

Engineering Contradiction:

Improvedeployment speedVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The automated deployment system is divided into separate orchestration modules for cloud infrastructure, network infrastructure, and application hosting. Each module handles specific deployment tasks independently, which reduces the complexity of integration while enabling fast automated execution. The segmented architecture allows parallel processing of deployment phases, improving overall deployment speed.

Inventive Principle:

Principle #1Segmentation

4Adaptability or versatility

If no standardized deployment methodology is used, then ease of adapting to different infrastructure types is maintained, but resource efficiency and cost-effectiveness deteriorate

Engineering Contradiction:

Improveinfrastructure adaptabilityVSAvoidresource efficiency

Core Design Contradiction:

Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The deployment orchestration system implements universal deployment patterns that can be applied across cloud, network, and application hosting infrastructures. Standardized deployment templates and configurations are reused across different infrastructure types, improving resource efficiency and reducing waste while maintaining adaptability through parameter customization for each specific infrastructure.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250233799A1Model driven process for automated deployment of domain 2.0 virtualized services and applications on cloud infrastructure

Publication Date: 2025.07.17 AT&T INTELLECTUAL PROPERTY I L P

AI summary

A model-driven system automatically deploys a virtualized service, including multiple service components, on a distributed cloud infrastructure. A master service orchestrator causes a cloud platform orchestrator to retrieve a cloud services archive file, extract a cloud resource configuration template and create cloud resources at appropriate data centers as specified. The master service orchestrator also causes a software defined network controller to retrieve the cloud services archive file, to extract a cloud network configuration template and to configure layer 1 through layer 3 virtual network functions and to set up routes between them. Additionally, the master service orchestrator causes an application controller to retrieve the cloud services archive file, to extract a deployment orchestration plan and to configure and start layer 4 through layer 7 application components and bring them to a state of operational readiness.