Predictive Server-Side Rendering for Cloud Gaming Latency
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Solution Overview
Problem
Cloud-based gaming platforms face high latency issues due to network congestion and distance, which can lead to frustrating delays and impractical gameplay, especially when buffering is used, as it can increase user-perceived latency by introducing communication time lag between user input and response.
Innovation Solution
A server device and method for predictive server-side rendering that calculates a predicted future navigation input based on current user input and application state, rendering a future scene with a larger field of view, and sending it to the client device, allowing for reduced perceived latency by interpolating pixel data to fill visual holes and using techniques like spatial and temporal interpolation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content buffering is used to handle network latency, then playback continuity is improved, but user-perceived latency increases due to communication time lag between user input and content display
Solution Approach 1:
The server performs preliminary rendering of multiple future scenes ahead of time based on predicted user navigation inputs. By calculating predicted future navigation inputs from current user input and application state, and rendering corresponding future scenes in advance, the system prepares content before it is actually needed, eliminating the need for buffering and reducing user-perceived latency.
2Adaptability or versatility
If cloud-based streaming is used to enable high-end graphics on less powerful devices, then accessibility is improved, but network latency degrades real-time interactivity
Solution Approach 1:
The server renders multiple future scenes in advance based on predicted user navigation inputs, preparing content before network transmission is needed. This preliminary action compensates for network latency, allowing real-time interactivity to be maintained even over wide area networks.
Solution Approach 2:
The system continuously monitors current user input and application state to recalculate predicted future navigation inputs. This feedback loop ensures that the pre-rendered scenes remain accurate reflections of user intent, maintaining responsiveness and interactivity despite the use of cloud-based streaming.
3Loss of time
If predictive rendering is used to reduce perceived latency, then responsiveness is improved, but data transmission volume increases due to larger field of view rendering
Solution Approach 1:
The system renders future scenes with a larger field of view than the current viewport, but only in regions that are likely to become visible based on predicted user navigation. This selective rendering approach maintains responsiveness while minimizing unnecessary data transmission by focusing computational resources on locally relevant areas.
Data Source
AI summary
A server device and method are provided for use in predictive server-side rendering of scenes based on client-side user input. The server device may include a processor and a storage device holding instructions for an application program executable by the processor to receive, at the application program, a current navigation input in a stream of navigation inputs from a client device over a network, calculate a predicted future navigation input based on the current navigation input and a current application state of the application program, render a future scene based on the predicted future navigation input to a rendering surface, and send the rendering surface to the client device over the network.