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

by Biao Hu
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Current price ₹11,219.00
Original price ₹13,130.00
Original price ₹13,130.00
Original price ₹13,130.00
(-15%)
₹11,219.00
Current price ₹11,219.00

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Book cover type: Hardcover
  • ISBN13: 9781394361625
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Wiley-IEEE Press
  • Publisher Imprint: Wiley-IEEE Press
  • Publication Date:
  • Pages: 192
  • Original Price: GBP 101.0
  • Language: English
  • Edition: N/A
  • Item Weight: 431 grams
  • BISAC Subject(s): Distributed Systems / Cloud Computing

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.

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

Mingguo Zhao is a Professor with the School of Mechatronics Engineering Harbin Institute of Technology.

Zhengcai Cao is a Professor with the College of Information Science and Technology at Beijing University of Chemical Technology.

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.

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