Prediction of website response time based on support vector machine
Xiaoming Zhang, Cuixia Feng, Guang Wang · 2014
Website response time is one of the most important performance parameter of website. It can be used to assess website performance to forecast the status of website. Large amounts of data are applied by a distributed monitoring system that monitoring a university website response time. Support vector machine with information granulation is studied to predict the response time. It can predict accurately the range of ultimate response time, the relative accuracy of the forecast average response time can reach 96.2%.