Predictive UI Overlay for Virtual Machine Latency Reduction
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Solution Overview
Problem
Desktop virtualization systems experience high latency and packet loss due to increased network conditions between workloads and client computing devices, leading to a poor user experience, especially when navigating user interface elements in cloud-based environments.
Innovation Solution
A computing system that includes a virtualization server configured to run virtual machine sessions and provide hosted applications with user interface elements, where client computing devices display local virtual UI elements, generate predicted responses, and replace them with actual responses from the server, optimizing latency by estimating and managing network latency between the server and client.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If desktop virtualization is implemented with remote server hosting, then flexibility and resource consolidation are improved, but network latency and packet loss increase
Solution Approach 1:
The system performs preliminary actions by predicting UI element responses before actual server processing completes. The client device generates predicted response graphics locally based on user input, displaying them immediately to eliminate perceived latency, then replaces them with actual server responses when they arrive.
Solution Approach 2:
The patent introduces an intermediary mechanism - the predicted response graphics - that mediates between user input and actual server processing. This intermediary provides immediate visual feedback while the real data travels through the slow network channel, decoupling user perception from actual network latency.
2Productivity
If cloud-based virtualization is used, then resource consolidation is improved, but user experience deteriorates due to latency
Solution Approach 1:
The system creates local copies of UI element responses at the client device. These copied graphics are generated locally as predictions and displayed immediately, providing a seamless user experience while the actual data is being retrieved from the remote server through the network.
3Loss of time
If local virtual UI elements are displayed with predicted responses, then perceived latency is reduced, but network bandwidth usage increases
Solution Approach 1:
The system performs partial action by sending only user input data to the server while generating the response graphics locally. This reduces network traffic to essential data only, while the bandwidth-intensive response rendering is performed locally through prediction algorithms.
Data Source
AI summary
A computing system includes a virtualization server that runs virtual machine sessions and provides a hosted application having user interface (UI) elements. A client computing device receives the UI elements and displays the UI elements as local virtual UI elements, applies user input to one of the local virtual UI elements in focus, generates a local virtual UI element graphics overlay corresponding to a predicted response to the user input and sends the user input to the virtualization server, which generates an updated UI element graphics corresponding to an actual response to the user input. The client computing device replaces at least a portion of the local virtual UI element graphics overlay corresponding to the predicted response with the received updated UI element graphics.