Workflow performance prediction based on graph structure aware deep attention neural network

Jixiang Yu, Ming Gao, Yuchan Li, Zehui Zhang, Wai Hung Ip, Kai-Leung Yung

Abstract: Highlights•In workflow performance prediction, DAG structure matters;•DAG-Transformer effectively embeds the DAG information and outperforms mainstream ML, DL , and GCN methods;•A new dataset for cloud workflow performance prediction is accompanied as well as the source code.