Multi-Runtime Dashboard Orchestration for Modular Data Visualization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing dashboard systems struggle to efficiently present multiple data visualizations in separate sections of a single dashboard graphical user interface (GUI), leading to increased user interaction complexity and demand for a more modular and efficient data presentation.
Innovation Solution
Implementing a modular runtime environment that orchestrates multiple runtime engines simultaneously to generate a componentized dashboard GUI, using a publish/subscribe model to facilitate communication and data sharing between parent and child runtime engines, enabling independent or shared component operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple runtime engines are executed simultaneously to generate componentized dashboard GUI, then rendering efficiency and data visualization capability are improved, but system complexity and orchestration difficulty increase
Solution Approach 1:
The dashboard is divided into multiple independent components (header, sidebar, main content, footer) that can be rendered by separate runtime engines simultaneously. Each component is defined with metadata specifying its type and dependencies, allowing parallel processing while maintaining overall system coherence through the component tree structure.
Solution Approach 2:
A runtime orchestrator is introduced as an intermediary component that manages the execution of multiple runtime engines. The orchestrator receives dashboard metadata, instantiates appropriate runtime engines, coordinates their execution, and handles communication between components, thereby reducing the complexity burden on individual engines.
2Adaptability or versatility
If componentized dashboard with multiple sections is implemented, then data presentation flexibility is improved, but user interaction complexity increases
Solution Approach 1:
The dashboard is segmented into independent components that can be selectively rendered and updated. Users can interact with specific sections without affecting others, and the system can dynamically adjust which components are visible based on user role, preferences, or data availability, maintaining simplicity while providing flexibility.
Solution Approach 2:
Runtime engines are designed with universal capabilities to handle multiple component types through a standardized interface. The same engine can render different dashboard sections by configuring it with appropriate metadata, reducing the number of specialized interaction modes while maintaining presentation flexibility.
3Loss of information
If multiple runtime engines are orchestrated to generate dashboard components, then data sharing capability is improved, but communication overhead and synchronization difficulty increase
Solution Approach 1:
The runtime orchestrator serves as a centralized mediator that manages data sharing between multiple runtime engines. It maintains a unified data model and coordinates updates across components, eliminating the need for direct peer-to-peer communication and reducing synchronization overhead.
Solution Approach 2:
Component metadata is prepared in advance to define data sharing requirements, dependencies, and communication protocols before runtime execution. This preliminary configuration allows runtime engines to establish efficient data channels without runtime negotiation, reducing synchronization time during execution.
Data Source
AI summary
Disclosed are some implementations of systems, apparatus, methods and computer program products for implementing multiple runtime engines in a single environment to generate a dashboard GUI including multiple dashboard components.