Distributed Business Process Integration Model
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Distributed business processes lack a standardized integration model for configuring, integrating, and monitoring message exchange between loosely coupled or heterogeneous business applications, making it difficult to adapt to dynamic changes and optimize resource efficiency.
Innovation Solution
A system with a delivery model and a configuration model using aggregated and expanded multigraphs to define business processes at design time and runtime, respectively, along with transformation modules to automate integration configuration and monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If workflow-based applications are used to execute specific business processes, then business process execution capability is improved, but flexibility to adapt to dynamic changes deteriorates
Solution Approach 1:
The business process is segmented into modular workflow components that can be independently configured and executed. The integration model separates the delivery model (design-time) from the configuration model (runtime), allowing process definitions to be divided into reusable segments that can be adapted without redefining entire processes.
Solution Approach 2:
The system implements dynamic adaptability through the configuration model that allows runtime modification of business process parameters. The transformation module enables dynamic conversion between delivery and configuration models, permitting processes to adapt to changing business conditions while maintaining structured execution.
2Manufacturing precision
If business processes are defined according to a process definition in a workflow builder tool, then process execution standardization is improved, but configurability to company-specific needs deteriorates
Solution Approach 1:
The integration model applies local quality by allowing different levels of standardization and customization at different points in the process. The delivery model provides standardized process definitions while the configuration model enables company-specific adaptations, allowing each organization to configure standard processes to their local needs.
Solution Approach 2:
The system enables configurability through parameter changes in the configuration model. Company-specific needs are addressed by modifying process parameters, variables, and configuration settings without changing the core process definition, allowing standardization to be maintained while adapting to specific organizational requirements.
3Adaptability or versatility
If distributed business processes are implemented across heterogeneous systems, then system integration capability is improved, but monitoring and configuration complexity deteriorates
Solution Approach 1:
The integration model provides universality by creating a standardized framework that works across heterogeneous systems. The delivery and configuration models serve multiple functions: defining processes, configuring implementations, and enabling monitoring. This universal model simplifies integration across different systems while maintaining the ability to monitor and configure complex distributed processes.
Solution Approach 2:
The transformation module acts as an intermediary between the delivery model and configuration model. It mediates the complexity by automatically transforming standardized process definitions into system-specific configurations, reducing the burden of manual configuration and monitoring across heterogeneous distributed systems.
4Speed
If the time required for execution of business processes is minimized, then execution speed is improved, but resource efficiency deteriorates
Solution Approach 1:
The configuration model enables partial execution and selective activation of process components. Instead of always executing complete business processes, the system can activate only necessary portions based on runtime conditions, reducing both execution time and resource consumption by avoiding unnecessary process steps.
Data Source
AI summary
A system and method for integrating distributed business processes that govern message exchange between loosely coupled business applications. The system and method includes the use of an integration scenario. The integration scenario includes a delivery integration model that defines one or more design time business processes. The integration scenario further includes a configuration integration model that defines a runtime configuration of the one or more design time business process. Transformation modules are provided to transform the integration scenario from the delivery integration model to the configuration integration model, and vice versa.