Intelligent failure prediction models for scientific workflows
Intelligent task failure models using machine learning approaches are proposed. The accuracy of proposed models is validated in Pegasus and Amazon EC2. The prediction accuracy of (94%) is achieved using Nave Bayes approach.
failure prediction scientific workflows workflows machine learning cloud computing