Biao Hu: Intelligent Scheduling of Tasks for Cloud-Edge-Device Computing Systems, Gebunden
Intelligent Scheduling of Tasks for Cloud-Edge-Device Computing Systems
- Publisher:
- John Wiley & Sons, 11/2025
- Binding:
- Gebunden
- Language:
- Englisch
- ISBN-13:
- 9781394361625
- Item number:
- 12329587
- Volume:
- 192 Pages
- Weight:
- 431 g
- Format:
- 229 x 152 mm
- Thickness:
- 13 mm
- Release date:
- 21.11.2025
- Note
-
Caution: Product is not in German language
Blurb
Comprehensive overview of recent research advancements in scheduling approaches for cloud edge computing systems
Intelligent Scheduling of Tasks for Cloud-Edge-Device Computing Systemsoffers 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 Systemsis 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.
