Workflow Scheduling on Computing Systems

1. Auflage 2022
ISBN: 978-1-032-30920-0
Verlag: CRC Press

Buch, Englisch, 252 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 653 g

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.

It offers a whole new perspective and holistic approach in understanding computing systems’ workflow scheduling. Expressing and exposing approaches for various process-centric cloud-based applications give a full coverage of most systems’ energy consumption, reliability, resource utilization, cost, and application stochastic computation. By combining theory with application and connecting mathematical concepts and models with their resource management targets, this book will be equally accessible to readers with both Computer Science and Engineering backgrounds.

It will be of great interest to students and professionals alike in the field of computing system design, management, and application. This book will also be beneficial to the general audience and technology enthusiasts who want to expand their knowledge on computer structure.

Zielgruppe

Academic, General, Postgraduate, Professional, Professional Practice & Development, Professional Reference, Professional Training, Undergraduate Advanced, and Undergraduate Core

Autoren/Hrsg.

Li, Kenli

Tang, Xiaoyong

Mei, Jing

Zhang, Longxin

Yang, Wangdong

Li, Keqin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Verteilte Systeme (Netzwerke)
• Technische Wissenschaften Technik Allgemein Technik: Allgemeines

Inhaltsverzeichnis

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

Über Autor(innen)

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.