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

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.