Title :
Prediction of website response time based on support vector machine
Author :
Xiaoming Zhang ; Cuixia Feng ; Guang Wang
Author_Institution :
Dept. of Comput., Beijing Inst. of Petrochem. Technol., Beijing, China
Abstract :
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%.
Keywords :
Web sites; support vector machines; Website response time prediction; distributed monitoring system; information granulation; support vector machine; university Website response time monitoring; Accuracy; Browsers; Monitoring; Predictive models; Servers; Support vector machines; Time factors; Network measurement; Response time; Support vector machine; Website; monitoring;
Conference_Titel :
Image and Signal Processing (CISP), 2014 7th International Congress on
Conference_Location :
Dalian
DOI :
10.1109/CISP.2014.7003908
