The Role of Content Delivery Networks in Optimizing International E-Commerce Load Times

Network infrastructures differ widely in countries such as India; therefore, the demand to have scalable and low-latency content distribution has increased alongside the popularity of e-commerce sites. This paper introduces Swift Cache, a caching system that uses RL to achieve the objective of making content delivery networks (CDNs) more resourceful in supporting dynamic product listings. The combination of the real world product data of Flipkart and the altered India latency data of the 10 ISPs in the five regions can be used to offer an effective testing instrument. Swift Cache is a superior solution than the traditional caching methods such as LRU, LFU, FIFO, and fixed CDN solutions because it can make caching decisions considering the content popularity, cache capacity, and latency metrics. The findings of the experiment, conducted with the help of the Python-based TensorFlow RL models and AWS CloudFront configuration with the simulated Indian edge nodes, show that performance across various dimensions has been significantly improved. Swift Cache enhanced the end-to-end latency by 35-50, raised the ratio of cache hits by 20-30 and saved bandwidth by 15-25. Critical user experience value Time-to-first byte had been decreased by almost 40 percent compared to baseline measurement strategies. Moreover, ISP-wise analysis showed the latency up to 45% lower with such large providers as Jio and Airtel. Such results make SwiftCache a powerful and dynamic solution that will be able to optimize the performance of CDN and provide a better user experience in applications with high latency rates, associated with e-commerce.

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