Abstract
To maintain a complex modern web-based system, the what-if analysis is quite useful for predicting the impact of any workload growth or planned change on the performance of individual components, even the entire system. In this paper we propose an approach based on log mining to build what-if models of web-based systems and validate them by using OPNET simulation tool. Three contributions of this paper are: (1) the construction of what-if models based on log mining to automate the task of modeling and validation, (2) the technique to address complexity of user behaviors including users' browser caching, clustering of requests and users, etc., (3) and two real-life cases to evaluate the effectiveness and accuracy of this approach. The preliminary results show that the relative errors between logged data and simulation results are less than 18% in most cases including number of requests and network throughput.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call