General Solution for Predicting Implementation Times of Web Service in Cloud Computing Environment
Accurate predicting the Web Service computation times is an important issue for scheduling successfully in Cloud Computing Environment. The authors propose a novel rough set algorithm to predict that employee rough set theory to acquire a reduced attribute collection and then calculate the computation prediction. The novel algorithm is based on rough set theory and can determine a reduced attribute collection. The reduced attribute collection is some factors which can determine the runtime of a web service. They conduct experiments to verify the effectiveness of their hypothesis. The experiments result shows that their hypothesis can be a general solution for predicting the computation times of a web service in cloud computing environment.