Performance optimization solutions for web-based virtual interactive applications

With the advancement of technology, employee training has become more flexible and personalized, with virtual interactive learning gaining significant attention. In modern corporate environments, web-based platforms offer wide accessibility, cross-platform support, and real-time updates, making them ideal for developing virtual interactive courseware. However, the performance limitations of web browsers necessitate effective optimization schemes. This paper focuses on optimizing frontend performance and memory usage for virtual interactive applications. Methods such as optimizing document node loading, Unity file loading, network transmission, Level of Detail (LOD) optimization, and large scene optimization were employed. As a result, page rendering time, input delay time, and memory usage have been optimized to meet expected standards. The implemented performance optimization plan successfully achieved the desired outcomes.

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Publication Details

Published
2024-10-28
DOI
https://doi.org/10.1117/12.3050084
Primary Topic
Mobile Agent-Based Network Management
Type
article
Field-Weighted Citation Impact
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Performance optimization solutions for web-based virtual interactive applications

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Mobile Agent-Based Network Management
article

Performance optimization solutions for web-based virtual interactive applications

Jie Gao, Mengyu Li, Dong Liang, Xing Li, Weimin Xu
article en

Abstract

With the advancement of technology, employee training has become more flexible and personalized, with virtual interactive learning gaining significant attention. In modern corporate environments, web-based platforms offer wide accessibility, cross-platform support, and real-time updates, making them ideal for developing virtual interactive courseware. However, the performance limitations of web browsers necessitate effective optimization schemes. This paper focuses on optimizing frontend performance and memory usage for virtual interactive applications. Methods such as optimizing document node loading, Unity file loading, network transmission, Level of Detail (LOD) optimization, and large scene optimization were employed. As a result, page rendering time, input delay time, and memory usage have been optimized to meet expected standards. The implemented performance optimization plan successfully achieved the desired outcomes.

China Tobacco Guangxi Industrial (China) (CN)
Openalex Percentile: Top 79%
Mobile Agent-Based Network Management
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