Performance Analysis of Web-Based E-Commerce Information Systems Using Load Testing Method
Keywords:
E-commerce performance, Load testing, Web-based systems, Scalability analysis, System optimizationAbstract
In the rapidly evolving world of e-commerce, the performance of web-based platforms is critical to ensuring optimal user experiences and business success. This research aims to evaluate the performance of an e-commerce information system using the Load Testing Method to assess its ability to handle varying traffic levels and identify performance bottlenecks. The study focuses on key metrics such as response time, server utilization, throughput, error rates, and system scalability under different load conditions. By conducting load tests simulating typical and peak user activity, the research identifies areas of concern, including slow response times, server overloads, and scalability limitations. The findings highlight the importance of proactive performance evaluation to enhance system stability, reduce downtime, and improve user satisfaction. The study also proposes optimization strategies, including backend improvements, infrastructure upgrades, and scalable solutions, to address the identified issues. Furthermore, the research compares the tested system's performance against industry benchmarks to assess its competitiveness in the market. This research underscores the significance of load testing as a tool for maintaining high-performance standards in e-commerce platforms and provides actionable insights for e-commerce businesses seeking to optimize their online presence. Future research directions, including AI-driven predictive testing and edge computing solutions, are also discussed to pave the way for the next generation of e-commerce performance evaluation.
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