Edge computing is developed as a promising solution operating and performing modern web applications with low latency, fast load times, and efficient resource uses near the source of the data. This content describes an end-to-end framework involving front-end, back-end, and edge-layer optimizations, while introducing an empirical-based benchmark, as well as a security integration, and compatibility with different frameworks, to overcome the limitations of current approaches. We have also implemented the proposed approach in real-time on various platforms, and have shown large improvements in web response time, and scalability. This work helps to improve edge-native web architecture for performance-sensitive applications.
S. Kannadhasan, Gopinath Anjinappa, Akshay Kumar et al.· 0 citations
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