Intelligent Scheduling of Tasks for Cloud-Edge-Device Computing Systems
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Intelligent Scheduling of Tasks for Cloud-Edge-Device Computing Systems
About this book
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.
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Information
Table of contents
- Cover
- Table of Contents
- Title Page
- Copyright
- Foreword
- About the Authors
- Preface
- Acknowledgments
- Acronyms
- Glossary
- Chapter 1: Introduction
- Chapter 2: Scheduling Mixed Real-time Tasks in an Automotive System with Vehicular Network
- Chapter 3: Workload-aware Scheduling of Real-time Independent Tasks in Cloud
- Chapter 4: Energy-minimized Scheduling of Real-time Dependent Tasks in Cloud
- Chapter 5: Workload-aware Scheduling of Real-time Dependent Tasks in Vehicular Edge Computing
- Chapter 6: Scheduling Multiple-criticality Dependent Tasks in Vehicular Edge Computing System
- Chapter 7: Real-world Applications of Scheduling Technologies
- Chapter 8: Summary and Future Research
- References
- Index
- End User License Agreement