Workflow Scheduling on Computing Systems - Li, Kenli
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Présentation Workflow Scheduling On Computing Systems Format Relié
- Livre Sciences de la vie et de la terre
Résumé :
This book will serve as a guide in understanding workflow scheduling techniques on computing systems such as Cluster, Supercomputers, Grid computing, Cloud computing, Edge computing, Fog computing, and the practical realization of such methods.
Biographie: Kenli Li is currently a full professor of computer science and technology at Hunan University, and the deputy director of National Supercomputing Center in Changsha. His major research areas include parallel computing, high-performance computing, grid, and cloud computing. Xiaoyong Tang is currently a Professor with the School of Computer and Communication Engineering, Changsha University of Science and Technology. He has published more than 50 technique papers in international journals and conferences. He holds over 10 patents announced or authorized by the Chinese National Intellectual Property Administration. He is among the World's Top 2% Scientists. Jing Mei is currently an Assistant Professor at the College of Information Science and Engineering, Hunan Normal University. Her research interests include parallel and distributed computing, cloud computing, edge computing etc. Longxin Zhang is currently an Associate Professor of computer science with the Hunan University of Technology. He is also a Visiting Scholar with the University of Florida. Wangdong Yang is a Professor of computer science and technology at Hunan University. His research interests include modeling and programming for heterogeneous computing systems and parallel algorithms. Keqin Li is a SUNY Distinguished Professor of computer science with the State University of New York. He is also a National Distinguished Professor with Hunan University, China. He holds over 60 patents announced or authorized by the Chinese National Intellectual Property Administration. He is among the World's Top 10 most influential scientists in distributed computing based on a composite indicator of Scopus citation database.
Sommaire: 1.Computing Systems 2.Classical Workflow Scheduling 3.Stochastic Task Scheduling on Grid Computing Systems 4.Scheduling Stochastic Tasks on Heterogeneous Cluster Systems 5.Reliability-Energy Aware Scheduling algorithm 6.Energy Consumption and Reliability Bi-objective Workflow Scheduling 7. Interconnection Network Energy-Aware Scheduling Algorithm 8.Resource-Aware Duplication-Minimization Scheduling Algorithm 9.Contention-Aware Reliability Efficient Scheduling
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