Cloud-Streaming Interactive Content Rendering
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Solution Overview
Problem
Current digital interactive platforms face limitations in scalability, computational power, and realism due to reliance on local processing units and fixed decision trees, restricting the number of users and the complexity of interactive experiences in virtual worlds and simulations.
Innovation Solution
A cloud-streaming system that uses a single server instance to render interactive content for multiple users, employing a polymorphic decision tree and Game Element Modules (GEMs) to provide photo-realistic, scalable, and dynamic virtual environments that can accommodate a large number of simultaneous users, allowing for emergent behaviors and seamless interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single server instance renders interactive content for multiple users simultaneously, then scalability and resource efficiency are improved, but the complexity of rendering different perspectives and maintaining interactivity increases
Solution Approach 1:
The system segments the rendering process by creating separate rendering threads for each user connection while maintaining a single server instance. Each thread handles perspective-specific rendering independently, allowing the system to serve multiple users simultaneously without overwhelming a single rendering thread. This segmentation enables scalable user support while distributing computational load across multiple threads within the same server instance.
Solution Approach 2:
The server instance is designed to be universal by handling multiple user connections and rendering different perspectives within the same instance. Rather than requiring separate server instances for each user or small groups, the single server instance universally serves all connected users, dynamically adjusting to render appropriate perspectives for each user while sharing common resources and logic.
2Illumination intensity
If photo-realistic graphics rendering is implemented, then visual quality and immersion are improved, but computational power requirements and processing time increase
Solution Approach 1:
The system performs preliminary actions by pre-rendering and caching common environmental elements, textures, and assets that appear across multiple user perspectives. Rather than rendering everything from scratch for each user and each frame, the server prepares reusable graphical resources in advance, reducing the real-time computational burden while maintaining photo-realistic quality in the final rendered output.
3Ease of manufacture
If fixed decision trees are used to control game logic, then implementation simplicity is improved, but adaptability and emergent behavior are reduced
Solution Approach 1:
The system transitions from static fixed decision trees to dynamic decision-making architectures that can adapt during gameplay. Game logic is structured to evaluate multiple possible outcomes and select actions based on current game state, user inputs, and contextual factors. This dynamic approach allows the same game logic to produce different, emergent behaviors across varying gameplay scenarios while maintaining implementability through structured evaluation frameworks.
Data Source
AI summary
Systems and methods of providing interactive content to a single user or multiple users include providing a server having interactive content. Using a processor of the server, at least a portion of the interactive content for one or more users is rendered in a single server instance simultaneously, thereby providing rendered screen frames of the interactive content for the one or more users. The rendered screen frames of the interactive content are streamed through at least one network connection to the one or more users, whereby the rendered screen frames of the interactive content are displayed on one or more local computing devices corresponding to the one or more users, respectively.