🤖 AI Summary
This study addresses the lack of empirical analysis on the effectiveness of simple in-memory caching in small-scale web applications. By comparing server configurations with and without a fixed time-to-live (TTL) in-memory cache within a lightweight web framework, the authors systematically evaluate performance gains through measurements of response times for repeated HTTP requests. The results demonstrate that incorporating a basic server-side cache significantly reduces response latency, confirming its efficacy in resource-constrained environments. This work fills an empirical gap in the understanding of caching mechanisms for lightweight applications and underscores the practical value of simplicity and reproducibility in educational contexts and small-scale deployments.
📝 Abstract
Performance in web applications is a key aspect of user experience and system scalability. Among the different techniques used to improve web application performance, caching has been widely used. While caching has been widely explored in web performance optimization literature, there is a lack of experimental work that explores the effect of simple inmemory caching in small-scale web applications. This paper fills this research gap by experimentally comparing the performance of two server-side web application configurations: one without caching and another with in-memory caching and a fixed time-tolive. The performance evaluation was conducted using a lightweight web server framework, and response times were measured using repeated HTTP requests under identical environmental conditions. The results show a significant reduction in response time for cached requests, and the findings of this paper provide valuable insights into the effectiveness of simple server-side caching in improving web application performance making it suitable for educational environments and small-scale web applications where simplicity and reproducibility are critical.