Client-Side Graphics Effects Offload for Cloud Gaming
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Solution Overview
Problem
In cloud-based gaming systems, the introduction of 3D graphics effects by servers increases encoding complexity, leading to excessive network bandwidth consumption, increased transmission latency, and power consumption, while client devices' graphics processing units remain underutilized.
Innovation Solution
Adaptive offloading of graphics effects from server-side to client-side, where the server modifies graphics operations based on client resource availability and network conditions, and transmits metadata to enable client-side compensation for reduced effects, leveraging client GPU resources for improved image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the server applies 3D graphics effects during rendering, then image quality is improved, but encoding complexity and bandwidth consumption increase
Solution Approach 1:
The graphics effects processing is segmented between server and client. The server performs rendering and basic effects, while complex post-processing effects are offloaded to the client device. This segmentation reduces server encoding complexity while maintaining image quality through client-side effect application.
Solution Approach 2:
Complex graphics effects processing is extracted from the server-side rendering pipeline and transferred to client-side processing. The server transmits rendered video frames without complex effects, and the client applies these effects locally, thereby reducing server encoding complexity and bandwidth requirements.
2Illumination intensity
If the server applies 3D graphics effects during rendering, then image quality is improved, but transmission latency increases
Solution Approach 1:
Time-consuming graphics effects processing is extracted from the server rendering pipeline and performed at the client end. This extraction reduces the server's processing time and transmission data volume, thereby decreasing transmission latency while maintaining image quality through client-side effect application.
Solution Approach 2:
The server performs preliminary rendering and transmits basic video frames quickly. Complex graphics effects are applied in advance at the client side using pre-fetched frames and effect parameters, allowing for faster overall processing and reduced latency compared to server-side effects.
3Illumination intensity
If the server applies 3D graphics effects during rendering, then image quality is improved, but power consumption increases
Solution Approach 1:
Power-intensive graphics effects processing is segmented and relocated to the client device. The server performs energy-efficient rendering and transmission, while the client's GPU handles computationally intensive effect processing locally, reducing overall system power consumption especially at the server infrastructure level.
Solution Approach 2:
Energy-consuming effects processing is extracted from the server and performed at the client end. This extraction significantly reduces server power consumption and infrastructure energy requirements, while the client device handles the computational load locally, improving overall energy efficiency.
4Productivity
If the server reduces graphics effects to reduce bandwidth consumption, then transmission efficiency is improved, but image quality deteriorates
Solution Approach 1:
The client device acts as an intermediary that receives rendered video frames from the server and applies graphics effects locally. This intermediary approach allows the server to transmit data efficiently with minimal effects, while the client compensates for reduced quality by applying effects locally, thus maintaining image quality without sacrificing transmission efficiency.
Solution Approach 2:
Instead of transmitting the full rendered image with effects from the server, the system transmits a simplified version and uses client-side GPU to generate the effects as a copy or enhancement layer. This copying approach maintains transmission efficiency while restoring image quality through local effect generation.
Data Source
AI summary
A server offloads graphics effects processing to a client device with graphics processing resources by determining a modification to a graphics effects operation, generating a portion of a rendered video stream using the modification to the graphics effects operation, and providing an encoded representation of the portion of the rendered video stream to the client device, along with metadata representing the modification implemented. The client device decodes the encoded representation to recover the portion of the rendered video stream and selectively performs a graphics effects operation on the recovered portion to at least partially revert the resulting graphics effects for the portion to the intended effects without the modification implemented by the server.