Cloud CAD Rendering Adaptation for Client-Server Load Balancing
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Solution Overview
Problem
Traditional 3D rendering of CAD data requires powerful local machines, leading to inconsistent user experiences due to varying hardware capabilities, and is inefficient in maintaining interactive frame rates when handling multiple clients with different rendering requirements.
Innovation Solution
A client-server architecture where the server adapts rendering based on client capabilities by performing some rendering tasks and streaming others, using techniques like compressive sensing, model-based prediction, and adaptive rendering to reduce server load and ensure consistent quality across diverse devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If rendering is performed solely by the server to ensure consistent quality across different client hardware, then visualization quality is improved, but server processing burden and network bandwidth consumption increase
Solution Approach 1:
The rendering process is divided into two segments: the server performs geometry processing and generates intermediate representations, while the client performs final image rendering using received parameters. This segmentation allows quality consistency through server control while reducing server burden by offloading pixel-level rendering to clients.
Solution Approach 2:
The server performs partial rendering by generating only the essential geometric parameters and transformation data needed for reconstruction, rather than completing the entire rendering pipeline. This partial action reduces server workload while providing sufficient information for the client to generate high-quality images.
2Productivity
If the server multiplexes requests from multiple clients to reduce costs, then resource utilization is improved, but interactive frame rates deteriorate due to thrashing when different data is required for different clients
Solution Approach 1:
The system changes the parameters being transmitted from complete geometric data to compact transformation parameters and vertex descriptors. This parameter transformation allows the server to efficiently handle multiple clients by sending minimal data that can be rapidly processed by each client's local renderer, maintaining interactive frame rates even under multiplexing conditions.
3Adaptability or versatility
If complete CAD data is downloaded to the local machine for rendering, then rendering flexibility is improved, but network bandwidth consumption and initial load time increase
Solution Approach 1:
The essential rendering parameters (transformation matrices, vertex descriptors, material properties) are extracted from the complete CAD data and transmitted to the client. This extraction provides sufficient information for flexible local rendering while minimizing data transfer volume, as only critical parameters rather than complete geometric definitions are sent.
4Reliability
If high-quality rendering is provided to all clients regardless of their hardware capabilities, then visualization quality is improved, but accessibility to lower-end devices deteriorates
Solution Approach 1:
The rendering architecture is made dynamic by allowing the division of work between server and client to adapt to client capabilities. Clients with stronger hardware can perform more local rendering, while those with weaker hardware receive more pre-processed data from the server, ensuring high-quality visualization across diverse device types.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables high-quality, interactive 3D rendering experiences on a wide range of devices without the need for powerful local hardware, allowing multiple clients to visualize complex CAD models simultaneously while reducing server burden and network latency.
Implementation Method 1
A server remote from a client computer renders a view of the three-dimensional structure using the computer assisted design data. The rendering may be of a sub-set based on maximally incoherent sampling of the computer assisted design data. A client computer receives the rendered view from the server. The client computer may construct an image with compressive sensing.
Data Source
AI summary
Computer assisted design data is rendered in the cloud. A client-server relationship is provided for 3D rendering. To reduce the burden on the server, the 3D rendering adapts based on the client capabilities. Where possible, some of the 3D rendering is performed by the server and some by the client machine. The 3D rendering by the client machine may be limited to avoid transfer of geometrical data of the CAD data. Different textures or shaders are used for rendering images associated with motion. Dictionary information is accumulated by the client machine to reduce the number of coefficients later transferred to the client machine for 3D rendering. The model represented by the CAD data is used to predict rendered images so that video compression may be performed. The server sparsely renders an image and compressive sensing is used by the client machine to generate the complete image.