Web Application Performance Prediction

H. Karlapudi and J. Martin (USA)


Network performance, analytic modeling, applicationresponse time


In this paper, we propose and validate a web application performance prediction tool that predicts the performance of web applications between specified end-points. The model, which considers only the impact of the network on the application, is driven by easily obtainable network characteristics. Our research suggests that it is possible to reliably predict the average response time of a simple web application with an error of less than 15%. The model uses easily obtainable network performance measures and unlike other models, works well in both drop-tail and RED environments.

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