Smart Infrastructure Orchestration for Adaptive Service Placement

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Solution Overview

Problem

Existing service orchestration and management systems face challenges with static deployment schemes, resource bottlenecks, and inefficient use of computing resources due to the need for manual configuration and hard-coded deployment processes, leading to suboptimal service provisioning and resource allocation.

Innovation Solution

A system and method for dynamically managing service deployment by collecting and analyzing context, capability, and workflow data to automatically adjust service configurations and placements, using repositories to store and update data for dynamic orchestration and management, thereby avoiding bottlenecks and optimizing resource use.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual configuration and hard-coded deployment processes are used, then deployment control is maintained, but productivity and resource utilization deteriorate

Engineering Contradiction:

Improveservice deployment efficiencyVSAvoidmanual intervention level

Core Design Contradiction:

ProductivityVSExtent of automation

Solution Approach 1:

The system enables self-service through automated service discovery, capability negotiation, and workflow execution. Services automatically discover each other via publication/subscription mechanisms, negotiate capabilities without human intervention, and execute workflows autonomously based on context data and capability information exchanged between services.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements feedback loops where services continuously exchange context data and capability information. This feedback enables dynamic adjustment of service configurations and placements based on real-time conditions, allowing the system to adapt to changing resource availability and service requirements automatically.

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If static deployment schemes are used, then system stability is maintained, but adaptability to changing conditions deteriorates

Engineering Contradiction:

Improveservice configuration flexibilityVSAvoiddeployment structure rigidity

Core Design Contradiction:

Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The system transitions from static to dynamic deployment by continuously collecting context data about services and infrastructure, negotiating capabilities in real-time, and adjusting service placements dynamically. The workflow engine enables flexible composition of services based on current conditions rather than fixed predetermined configurations.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes deployment parameters dynamically by modifying service configurations, placements, and workflows based on updated context data and capability information. This allows the system to adapt resource allocation, service locations, and operational parameters in response to changing infrastructure conditions and service requirements.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If resource allocation is optimized dynamically, then productivity improves, but device complexity increases

Engineering Contradiction:

Improveresource utilization efficiencyVSAvoidorchestration system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system segments the complex orchestration function into independent modules: service discovery mechanisms, capability negotiation protocols, workflow execution engines, and resource management components. Each module operates independently and can be implemented, maintained, and scaled separately, reducing overall system complexity while enabling optimized resource allocation.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces intermediary components such as context data repositories, capability registries, and workflow engines that mediate between services and infrastructure. These intermediaries simplify direct service-infrastructure interactions by providing standardized interfaces and abstraction layers, reducing the complexity of direct coordination while enabling efficient resource management.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250267083A1Smart infrastructure orchestration and management

Publication Date: 2025.08.21 DELL PROD LP

AI summary

Methods and systems for managing service deployment are disclosed. To deploy services, dependencies and other characteristics (such as context data, capability data, placement rules, and workflow data) of services and the infrastructure boundaries in which the services are running may be dynamically collected, analyzed and updated. By dynamically analyzing dependencies and other characteristics (such as context data, capability data, placement rules, and workflow data) of services and the infrastructure boundaries, efficiency of use of computing resources may be improved by recycling existing workflow; statically defined operations and hard-coded conditional logic of services may also be avoided each time an environment in which the services are running has changed.