Hierarchical Engine Framework for Cross-Domain Workflow Control
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Solution Overview
Problem
Existing workflow technologies face challenges in efficiently managing and processing workflows across different domains, particularly in edge and fog computing environments, due to instability, high costs, and the inability to interwork between specialized edge frameworks.
Innovation Solution
A hierarchical engine framework that integrates a cluster server group for centralized data processing and intelligent edge or fog systems for real-time data collection and analysis, along with an intelligent control system to manage and orchestrate workflows across domains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud computing is used for workflow processing, then resource availability is improved, but communication link stability and cost are worsened
Solution Approach 1:
The patent segments the workflow processing system into multiple hierarchical levels: cloud computing resources for general availability, fog computing nodes for intermediate processing, and edge computing devices for local real-time processing. This segmentation allows the system to utilize cloud resources when available while maintaining operational stability through local processing capabilities at fog and edge levels, reducing dependency on stable communication links to the cloud.
2Productivity
If specialized edge frameworks are developed for specific domains, then domain-specific processing efficiency is improved, but interworking capability between frameworks is worsened
Solution Approach 1:
The patent introduces a universal data model and standardized interface framework that enables specialized edge frameworks developed for specific domains to interwork seamlessly. The universal data model provides a common structure for data representation across different domains, while standardized interfaces allow heterogeneous edge frameworks to communicate and cooperate, maintaining both domain-specific optimization and cross-framework interoperability.
3Speed
If fog computing is used for local data processing, then processing speed is improved, but system complexity for managing distributed workloads is worsened
Solution Approach 1:
The patent introduces a workflow engine as an intermediary component that manages distributed workload orchestration across fog and edge computing nodes. The workflow engine handles the complexity of coordinating tasks across multiple distributed nodes, providing a unified view and control mechanism that simplifies workflow management while enabling fast local processing at fog and edge levels.
4Productivity
If distributed workflow processing is implemented across multiple nodes, then processing capacity is improved, but coordination and orchestration complexity is worsened
Solution Approach 1:
The patent implements feedback mechanisms within the workflow engine that continuously monitor the state of distributed processing nodes and dynamically adjust workload allocation. The system collects status information from fog and edge nodes, processes this feedback information, and makes real-time decisions about task distribution and resource allocation, enabling efficient coordinated processing while managing orchestration complexity through adaptive control.
Data Source
AI summary
Provided are a system and method for controlling a workflow across domains on the basis of a hierarchical engine framework. Inventive workflow control makes it possible to configure a flexible hierarchical engine framework and provide a workflow service with low latency. Also, the system and method make it possible to control a workflow by building an engine and a data pipeline across domains.