Web Performance Optimization Suggestion Reasoning Based on Fuzzy Petri Net
基于模糊Petri网的Web性能优化建议推理

Most popular Web performance testing tools can provide performance evaluation in their testing report,but few of them are able to show performance bottleneck and no one indicate solutions on upgrade Web applications being tested.This paper bring forwards a new reasoning method based on Fuzzy Petri Net,which automatically produce suggestions for optimizing Web system performance based on the testing data it gathers.