Author Description

<p><b>Comprehensive overview of recent research advancements in scheduling approaches for cloud edge computing systems</b> <p><i>Intelligent Scheduling of Tasks for Cloud-Edge-Device Computing Systems</i> 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. <p>The book then summarizes the authors&#8217; 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. <p>Additional topics include: <ul><li>Workload-aware scheduling of real-time independent tasks, covering how to schedule jobs in a single or multiple servers</li><li>Mixed real-time task scheduling in automotive systems with vehicle networks, covering hybrid schedule design, offline task management, and online job assignment</li><li>Scheduling with real-time constraint, covering task placement adjustment strategy, start time adjustment, and backwards schedule adjustment</li><li>Energy-efficient scheduling without real-time constraint, covering energy consumption-optimal task placement plans as well as partition scheduling</li></ul> <p><i>Intelligent Scheduling of Tasks for Cloud-Edge-Device Computing Systems</i> is an essential resource for researchers and practitioners in the field of IoT seeking to understand specific challenges and requirements associate