On-Demand 3D Rendering Cache Architecture for Low-Latency Delivery
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Solution Overview
Problem
Conventional computer hardware struggles to render three-dimensional images in real-time, especially in large-scale, multi-user environments, making it difficult to provide dynamic images of user-defined objects on websites without noticeable delays.
Innovation Solution
A system comprising local image servers and rendering servers, utilizing special purpose rendering hardware and a hierarchical image storage structure to efficiently generate and deliver real-time, on-demand rendered images, including a routing system to determine image processing and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional computer hardware is used for rendering three-dimensional images, then the system structure is simple, but the rendering speed is slow and cannot meet real-time requirements
Solution Approach 1:
The patent divides the rendering system into multiple independent rendering servers that can process images in parallel. Each server handles specific rendering tasks, allowing the system to scale horizontally by adding more servers rather than relying on a single powerful machine, thus achieving real-time rendering without excessive complexity in individual components.
Solution Approach 2:
The patent introduces a caching system as an intermediary between users and rendering servers. This caching layer stores pre-rendered images and serves them directly when available, eliminating the need for real-time rendering in many cases and significantly improving response speed while reducing the load on rendering servers.
2Loss of time
If rendering is performed in real-time without user perceptible delay, then user experience is improved, but computational load on hardware increases beyond conventional capabilities
Solution Approach 1:
The patent implements pre-rendering of images before they are actually requested by users. By generating and storing rendered images in advance in the caching system, the computational load is distributed over time rather than concentrated at the moment of request, enabling real-time delivery without exceeding hardware capabilities during peak demand.
Solution Approach 2:
The patent creates and stores copies of rendered images in a caching system. When an image is requested, the system serves the pre-existing copy from cache rather than rendering it anew, dramatically reducing computational load and response time. This copying mechanism allows the system to handle multiple requests for the same image with minimal additional processing.
3Productivity
If a large-scale multi-user environment is supported, then system capacity is improved, but the complexity of providing dynamic rendered images exceeds conventional technology capabilities
Solution Approach 1:
The patent divides the system into modular components: multiple rendering servers, a separate caching system, and a request routing mechanism. This segmentation allows each component to be independently scaled and managed, enabling the system to support large numbers of users without creating an unmanageably complex monolithic system.
Solution Approach 2:
The patent designs the rendering servers and caching system to handle multiple types of requests and serve multiple users simultaneously through standardized interfaces. The caching system universally serves all rendering requests that have pre-rendered images available, while rendering servers handle all new rendering tasks, creating a scalable multi-functional architecture.
Data Source
AI summary
Real time, on demand rendered image delivery may be provided using one or more local image servers, image stores corresponding to the local image servers, one or more rendering servers, and a global image store. When a request for an image of three dimensional object is provided to a local image server, that server may respond to the request by determining if is present in its corresponding local image store. If it is not, then the local image server may obtain the image, store it in its corresponding local image store, and then return it. The one or more rendering servers may respond to messages indicating that one or the local image servers are obtaining an image by generating that image based on rendering it using special purpose rendering hardware, storing it in the global image store, and sending a completion message indicating that the requested image had been generated.