Practice and Research on Optimization Strategies for Front-End Page Loading Speed in Complex Single-Page Applications (SPAs)

Yijia Li(Dropbox.inc)

Abstract

This paper examines strategies for optimizing front-end page loading speed in complex Single-Page Applications (SPAs). Through quantitative analysis, it evaluates the effectiveness of various optimization techniques, including resource compression, code-splitting, and network caching. Key findings reveal that intelligent resource preloading, adaptive frameworks, and cross-device optimization significantly enhance loading speed and user experience. The study underscores the importance of combining these strategies to address the challenges posed by complex SPAs and achieve robust performance improvements. Additionally, it explores how emerging technologies like machine learning and server-side rendering can further refine optimization practices.

Keywords

Front-End Optimization; Single-Page Applications; Loading Speed; Quantitative Analysis; Performance Strategies; Machine Learning; Server-Side Rendering

References

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DOI: http://dx.doi.org/10.26549/met.v8i1.22538