Interest-Driven BI Visualization Rendering Level Adjustment
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Solution Overview
Problem
Business intelligence systems face challenges in dynamically adjusting data visualization rendering levels based on current system performance, leading to suboptimal user experience due to resource constraints.
Innovation Solution
An interest-driven business intelligence data visualization system that adjusts rendering levels (animation, intermediate, progressive) based on system performance thresholds, using CPU usage and RAM as parameters to optimize display quality and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the system renders displays at the highest quality level (animation level), then user experience and display quality are improved, but system resource consumption (CPU usage, RAM) increases
Solution Approach 1:
The system dynamically adjusts the rendering level based on current system performance conditions. It monitors CPU usage and RAM consumption in real-time, and automatically switches between animation level, intermediate level, and progressive level rendering to maintain optimal balance between display quality and resource utilization
Solution Approach 2:
The system changes rendering parameters (rendering level) based on system performance thresholds. When CPU usage or RAM consumption exceeds predefined thresholds, the system transitions from animation level to intermediate or progressive level rendering, and vice versa when resources are available
2Reliability
If the system maintains high rendering quality continuously, then user experience is preserved, but system performance and responsiveness deteriorate under resource constraints
Solution Approach 1:
The system implements a feedback mechanism that continuously monitors system performance metrics (CPU usage, RAM consumption) and adjusts rendering quality accordingly. This closed-loop control ensures that the system responds to changing performance conditions by adapting rendering levels to maintain both user experience and system responsiveness
3Productivity
If the system reduces rendering quality to conserve resources, then system performance is improved, but display quality and user experience deteriorate
Solution Approach 1:
The system dynamically adjusts rendering quality based on real-time performance monitoring. Instead of maintaining a fixed rendering level, it adapts between animation level, intermediate level, and progressive level rendering according to current CPU usage and RAM availability, ensuring optimal balance between performance and quality
Data Source
AI summary
Systems and methods for rendering displays in interest-driven business intelligence data visualization system of an inter-driven business intelligence system in accordance with some embodiments of the invention are illustrated. In one embodiment, an interest-driven data visualization system includes a processor, a memory configured to store an interest-driven business intelligence application, memory storing reporting data and metadata for the reporting data. The interest-driven business intelligence application includes a rendering process that adjusts the level of robustness of the rendered displays based upon current system performance information. Furthermore, the inter-driven business intelligence application may also include a table scrolling rendering process that periodically determines the location within the table and determines a viewport for the location. The viewport is then rendered and provided to the display.