Intelligent Scheduling of Tasks for Cloud-Edge-Device Computing Systems - Hardcover

Hu, Biao; Zhao, Mingguo; Cao, Zhengcai; Zhou, MengChu

Hardcover

ISBN 10: 1394361629 ISBN 13: 9781394361625

Publisher: Wiley-IEEE Press, 2026

Synopsis

Comprehensive overview of recent research advancements in scheduling approaches for cloud edge computing systems

Intelligent Scheduling of Tasks for Cloud-Edge-Device Computing Systems offers an in-depth collection of advanced task scheduling algorithms designed specifically for diverse cloud-edge-device computing systems. After an introductory overview, a series of intelligent scheduling approaches are presented, each specifically designed for a particular scenario within cloud-edge-device computing systems.

The book then summarizes the authors’ research findings in recent years, delving into topics including resource management, latency and real-time requirements, load balancing, priority constraints, algorithm design, and performance evaluation. The book enables readers to achieve efficient allocation of computing, storage, and network resources to optimize resource utilization. Real-world applications of scheduling technologies in smart cities and traffic management, industrial automation and smart factories, and healthcare monitoring systems are given in a separate chapter.

Additional topics include:

• Workload-aware scheduling of real-time independent tasks, covering how to schedule jobs in a single or multiple servers
• Mixed real-time task scheduling in automotive systems with vehicle networks, covering hybrid schedule design, offline task management, and online job assignment
• Scheduling with real-time constraint, covering task placement adjustment strategy, start time adjustment, and backwards schedule adjustment
• Energy-efficient scheduling without real-time constraint, covering energy consumption-optimal task placement plans as well as partition scheduling

Intelligent Scheduling of Tasks for Cloud-Edge-Device Computing Systems is an essential resource for researchers and practitioners in the field of IoT seeking to understand specific challenges and requirements associated with task scheduling in cloud-edge-device computing systems.

About this title

About the Author

Biao Hu is an Associate Professor with the College of Engineering at China Agricultural University, Beijing, China.

Mingguo Zhao is a Professor with the Department of Automation at Tsinghua University, Beijing, China.

Zhengcai Cao is a Professor with the School of Mechatronics Engineering at Harbin Institute of Technology, Harbin, China.

Mengchu Zhou is a Professor with the Helen and John C. Hartmann Department of Electrical and Computer Engineering at the New Jersey Institute of Technology, Newark, NJ, USA.

From the Back Cover

Comprehensive overview of recent research advancements in scheduling approaches for cloud edge computing systems

Intelligent Scheduling of Tasks for Cloud-Edge-Device Computing Systems offers an in-depth collection of advanced task scheduling algorithms designed specifically for diverse cloud-edge-device computing systems. After an introductory overview, a series of intelligent scheduling approaches are presented, each specifically designed for a particular scenario within cloud-edge-device computing systems.

The book then summarizes the authors’ research findings in recent years, delving into topics including resource management, latency and real-time requirements, load balancing, priority constraints, algorithm design, and performance evaluation. The book enables readers to achieve efficient allocation of computing, storage, and network resources to optimize resource utilization. Real-world applications of scheduling technologies in smart cities and traffic management, industrial automation and smart factories, and healthcare monitoring systems are given in a separate chapter.

Additional topics include:

• Workload-aware scheduling of real-time independent tasks, covering how to schedule jobs in a single or multiple servers
• Mixed real-time task scheduling in automotive systems with vehicle networks, covering hybrid schedule design, offline task management, and online job assignment
• Scheduling with real-time constraint, covering task placement adjustment strategy, start time adjustment, and backwards schedule adjustment
• Energy-efficient scheduling without real-time constraint, covering energy consumption-optimal task placement plans as well as partition scheduling

Intelligent Scheduling of Tasks for Cloud-Edge-Device Computing Systems is an essential resource for researchers and practitioners in the field of IoT seeking to understand specific challenges and requirements associated with task scheduling in cloud-edge-device computing systems.

Edition details

• Publisher: Wiley-IEEE Press
• Publication date: 2026
• Language: English
• ISBN 10: 1394361629
• ISBN 13: 9781394361625
• Binding: Hardcover
• Edition number: 1
• Number of pages: 192