Using Machine Learning Ensemble Methods to Predict Execution Time of e-Science Workflows in Heterogeneous Distributed Systems
Effective planning and optimized execution of the e-Science baby accessories workflows in distributed systems, such as the Grid, need predictions of execution times of the workflows.However, predicting the execution times of e-Science workflows in heterogeneous distributed systems is a challenging job due to the complex structure of workflows, vari