Dynamic Metamodel Orchestration for Context-Aware Network Services
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Solution Overview
Problem
Current software development practices are inflexible and brittle, struggling to adapt to dynamic, distributed, and complex environments, leading to suboptimal coordination and responsiveness in distributed organizations, which limits the exploitation of contextually relevant resources and hinders the ability to respond to external events effectively.
Innovation Solution
A system and method for declaratively modeling complex domains using a unified language, enabling the interpretation and execution of contextually motivated network services through normalized lifecycle management operations, which are dynamically composed and managed across micro-capabilities, resources, and network entities, facilitating flexible and responsive interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static, linear processes and orchestration are used, then implementation simplicity is maintained, but adaptability and responsiveness to external events deteriorate
Solution Approach 1:
The patent implements dynamic process orchestration where workflows can be modified at runtime based on external events and contextual conditions. The system transitions from static, pre-defined linear processes to dynamic, adaptive processes that can reconfigure themselves in response to changing requirements, thereby resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The patent segments processes into modular, independently manageable units that can be composed and reconfigured dynamically. This segmentation allows the system to maintain simplicity at the component level while achieving adaptability through flexible composition of segments, addressing the contradiction between process complexity and adaptability.
2Productivity
If rigid flow patterns are used, then process control is simplified, but responsiveness to external events deteriorates
Solution Approach 1:
The system employs dynamic flow patterns that can adapt their execution path based on external events and contextual information. This dynamic orchestration enables the system to respond rapidly to external stimuli while maintaining manageable complexity through standardized adaptation mechanisms.
Solution Approach 2:
The patent incorporates feedback mechanisms that allow the orchestration system to monitor external events and adjust process flow in real-time. This feedback-driven approach enhances responsiveness to external events while keeping orchestration complexity manageable through automated decision-making based on predefined feedback rules.
3Productivity
If pre-established context optimization is used, then process efficiency is improved, but exploitation of contextually relevant resources deteriorates
Solution Approach 1:
The patent implements dynamic context adaptation where processes are optimized for the actual runtime context rather than pre-established contexts. This allows the system to maintain high efficiency by adapting to the specific context at execution time while simultaneously exploiting the full range of contextually relevant resources that become available dynamically.
Data Source
AI summary
An order is received indicating a network service model. A context of the order is identified. A deployment plan is generated using the network service model, the deployment plan facilitating an instantiation of a contextually-motivated network service instance as a set of normalized lifecycle management (LCM) operations performed against each of a plurality of associated service entities. The deployment plan is deployed, the deploying including binding each of the normalized LCM operations, based on the context of the order, to one or more respective micro-capabilities, each of the respective micro-capabilities having previously been onboarded to the system as one or more corresponding modeled objects capable of being declaratively composed, each of the corresponding modeled objects including a mapping of object properties, object behaviors, and standard LCM operations to one or more existing micro-capabilities of the system. The deploying also including managing execution of the one or more respective micro-capabilities and associated resources, associated storage, and associated network and service allocation and configuration, to instantiate the contextually-motivated network service instance.