Abstract Data Graph for Web Component Rendering Optimization
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Solution Overview
Problem
Conventional techniques for accessing and updating data in web-based user interfaces often result in lag and delay due to serializing the process of GUI component rendering and data retrieval, especially when data is dynamically determined during rendering, leading to slower loading times and increased resource usage in cloud computing environments.
Innovation Solution
The implementation of static dependency analysis to construct an Abstract Data Graph (ADG) describing the data requirements of GUI components, allowing for preemptive data retrieval and caching, and the use of progressive page rendering to link data resolution with user interface presentation, enabling data to be retrieved only when needed and reducing unnecessary data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data retrieval is performed during GUI component rendering, then the user interface can be updated with current data, but the rendering process experiences lag and delay
Solution Approach 1:
The system performs static dependency analysis to identify data requirements before rendering begins, then pre-loads the necessary data in advance. This preliminary data retrieval eliminates the need to wait for data during the rendering process, resolving the contradiction between having fresh data and maintaining fast rendering speed.
Solution Approach 2:
The patent divides the data retrieval process into distinct phases: static analysis phase where dependencies are identified, data loading phase where data is pre-fetched, and rendering phase where the UI is constructed. This segmentation allows data preparation to occur independently before rendering, preventing lag during the actual rendering process.
2Loss of information
If all data is retrieved and transmitted to the client, then complete information is available for rendering, but network bandwidth and server resources are wasted on unnecessary data transmission
Solution Approach 1:
The system extracts only the specific data dependencies required for rendering by performing static analysis on the component tree. Instead of transmitting all available data, only the necessary data nodes identified through dependency analysis are retrieved and sent to the client, eliminating waste of network bandwidth and server resources on unnecessary data.
Solution Approach 2:
The patent implements partial data retrieval by loading only the subset of data that is actually needed for the current rendering, rather than retrieving all possible data. This partial action approach ensures data completeness for rendering while significantly reducing network resource consumption by avoiding transmission of excessive or unnecessary data.
3Adaptability or versatility
If data is dynamically determined during rendering, then the UI can adapt to current state, but the rendering process cannot begin until data is available
Solution Approach 1:
The system performs preliminary static dependency analysis to identify what data will be needed for rendering, then pre-loads this data before the rendering process starts. This allows the UI to maintain adaptability to current state while eliminating the time delay that would otherwise occur while waiting for data during rendering.
Solution Approach 2:
The patent introduces an intermediary data loading layer that sits between the rendering engine and the data source. This intermediary pre-fetches data based on static analysis and makes it available to the renderer, allowing the rendering process to proceed without waiting for dynamic data determination, thus reducing delay while preserving UI adaptability.
Data Source
AI summary
An abstract data graph may be constructed at a server. The abstract data graph may include nodes and links between nodes and may represent computer programming instructions for generating a graphical user interface at a client machine. At least some of the links may represent dependency relationships between portions of the graphical user interface. The abstract data graph may be resolved at the client machine to identify data items, which may be retrieved from the server and used to render the graphical user interface.