Cached UI Element Rendering for Resource-Constrained Media Devices
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Solution Overview
Problem
Media devices, such as streaming media devices, have limited computing capabilities and face challenges in running applications due to processing and storage demands, often lacking support for normal web browsers.
Innovation Solution
A cloud-based execution environment separates applications into a user renderer context on the media device for input/output functions and a user programmer context on a cloud computing system for business logic, using standard languages like JavaScript for development and debugging, allowing media devices to leverage cloud computing resources for enhanced application execution and development.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If applications are executed locally on media devices, then processing speed may be adequate for basic functions, but computing capability and storage capacity are insufficient for complex applications
Solution Approach 1:
The application is divided into two contexts: user renderer context executed locally on the media device for I/O functions, and user programmer context executed remotely on cloud computing systems for business logic. This segmentation allows complex computations to be performed in the cloud while keeping the device simple.
Solution Approach 2:
A cloud computing system acts as an intermediary between the media device and the application execution environment. The cloud system provides the necessary computing power and storage capacity, while the media device maintains control over I/O operations and user experience.
2Power
If more processing power and storage are added to media devices, then application execution capability improves, but device cost increases
Solution Approach 1:
The heavy processing and storage requirements are extracted from the media device and placed in cloud computing systems. This allows media devices to remain affordable with minimal local resources while still supporting complex applications through remote execution.
3Manufacturing precision
If drawing instructions are executed for each UI element, then rendering accuracy is maintained, but rendering performance deteriorates due to repeated processing
Solution Approach 1:
UI element representations are pre-computed and stored in a memory as cached data. When the same UI element needs to be rendered again, the cached representation is retrieved and used directly, bypassing the need to re-execute drawing instructions. This preliminary action maintains rendering accuracy while dramatically improving performance.
Data Source
AI summary
Provided herein are systems, apparatuses, articles of manufacture, methods and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for optimizing the rendering of a user interface (UI). For example, a first set of drawing instructions configured to render a first UI element for a graphical UI (GUI) is obtained. A determination is made that a representation of the first UI element is stored in a memory. In response to determining that the representation of the first UI element is stored in the memory, execution of the first set of drawing instructions is bypassed. The representation of the first UI element is obtained from the memory based on bypassing execution of the first set of drawing instructions. The obtained representation of the first UI element is rendered for the GUI.