Modeling Users Visiting Behaviors for Web Load Testing by Continuous Time Markov Chain
Virtual users with high quality are the preconditions to ensure the effect of load testing for Web applications. The existed tools for load testing usually generate virtual users with randomly choosing user sessions, manually generating user sessions or mining Log files, which causing such problems as non-real workload, subjectivity or difficult to update. Therefore we set each virtual user with a corresponding configure file, and these files determine the visiting paths, visiting moments and stay time of virtual users based on the Continuous Time Markov Chain. So we firstly finish the pretreatment for Log files, then construct the user visiting model, and next generate the virtual users, lastly carry out the load testing. In this way, we can obtain more reliable results for Web application load testing than the existed methods.
load testing virtual user Continuous Time Markov Chain
Lei Xu Weifeng Zhang Lianjie Chen
Department of Computer Science & Technology, Nanjing University State Key Laboratory for Novel Softw School of Computer, Nanjing University of Posts and Telecommunications School of Computer Science & Engineering, Southeast University Nanjing, China
国际会议
2010 Seventh Web Information System and Applications Conference(第七届全国web信息系统及其应用学术会议)
呼和浩特
英文
59-64
2010-08-20（万方平台首次上网日期，不代表论文的发表时间）