Declarative Modeling Language for Dynamic Service Chaining
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Solution Overview
Problem
Current software development practices are inflexible and brittle, struggling to support dynamic, distributed, and responsive interactions across complex value-chains, leading to suboptimal outputs and fragmented organizations due to static, non-responsive processes and middleware component stacks.
Innovation Solution
A declarative modeling language is used to transform base objects into interpreted objects, enabling non-linear processes through conditional, policy-based interactions and post-conditions, allowing for dynamic configuration and execution of services and applications, decoupling models from implementations and state, and providing a unified toolchain for architects and developers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static, pre-defined processes and middleware component stacks are used, then implementation simplicity is maintained, but system adaptability and responsiveness to external events deteriorate
Solution Approach 1:
The patent implements dynamic processes that can be modified at runtime through a meta-modeling layer. The system allows processes to be reconfigured, extended, and adapted to external events without requiring complete redesign, enabling the system to evolve dynamically while maintaining operational continuity.
Solution Approach 2:
The patent segments the system into distinct layers: base objects, interpreted objects, and meta-models. This segmentation allows independent modification of each layer, enabling adaptability at the process level without affecting the entire system, thus resolving the contradiction between adaptability and complexity.
2Productivity
If siloed process tasks and rigid flow patterns are used, then procedural control is simplified, but resource coordination efficiency and contextual responsiveness deteriorate
Solution Approach 1:
The patent creates a universal meta-modeling framework that can represent diverse process tasks, resources, and relationships in a unified manner. This universal model enables efficient coordination across different domains and contexts without requiring separate coordination mechanisms for each task type.
Solution Approach 2:
The patent introduces a meta-modeling intermediary layer that mediates between base objects and their interpretations. This intermediary enables contextual coordination by resolving relationships and dependencies dynamically, improving resource coordination efficiency while managing complexity through abstraction.
3Reliability
If manually-integrated middleware component stacks are used, then component flexibility is maintained, but system brittleness and difficulty of modification increase
Solution Approach 1:
The patent creates interpreted objects as representations or copies of base objects, allowing the system to work with simplified models rather than complex underlying implementations. This copying mechanism enables the system to maintain reliability while reducing the apparent complexity of middleware interactions.
Solution Approach 2:
The patent adds a meta-modeling dimension above the base object layer, creating a two-layer architecture. This dimensional addition allows complex middleware behaviors to be managed through high-level abstractions, improving system resilience while managing complexity through hierarchical organization.
4Adaptability or versatility
If static object configurations are used, then system stability is maintained, but dynamic service configuration and real-time responsiveness deteriorate
Solution Approach 1:
The patent defines base objects with pre-established schemas and constraints that provide stability. These preliminary definitions ensure object composition stability while allowing interpreted objects to dynamically configure services based on runtime context, resolving the contradiction between stability and configurability.
Data Source
AI summary
A context of one or more interactions is determined. Base objects are transformed into interpreted objects by interpreting the base objects based on evaluation of the context, and by resolving references of the base objects relative to domain model types and concepts, each of the base objects modeled using a same declarative modeling language, the same declarative modeling language enabling transitions between the interpreted objects, at least one of the interpreted objects including at least one post-condition providing hooks for transition policies which allow the at least one of the interpreted objects to be logically chained in a non-linear process. Transitioning between at least two of the interpreted objects by chaining the at least two interpreted objects based on a particular post-condition of a particular interpreted object to create at least a portion of a particular non-linear process. At least a portion of the particular non-linear process is executed.