
Başlık:
Intelligent scheduling of tasks for cloud-edge-device computing systems
Yazar:
Hu, Biao, author.
ISBN:
9781394361656
9781394361649
9781394361632
Fiziksel Tanımlama:
1 online resource
İçerik:
Contents -- Foreword -- Preface -- Glossaries -- Acronyms -- About the author -- Acknowledgement -- 1 Introduction -- 1.1 Cloud-Edge-Device Computing Systems -- 1.2 Tasks -- 1.3 Task Scheduling -- 1.4 Outline of the Book -- 1.5 Summary -- 2 Scheduling Mixed Real-time Tasks in an Automotive System with Vehicular Network -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Models and Problem Formulation -- 2.3.1 Software Model -- 2.3.2 Hardware Model -- 2.4 Hybrid Scheduler Design -- 2.5 Schedulability Test -- 2.5.1 Utilization-based Schedulability Test -- 2.5.2 Demand-Supply Analysis -- 2.6 Offline Task Assignment -- 2.6.1 Problem Formulation -- 2.6.2 Hard Real-Time Task Assignment -- 2.6.3 Soft Real-Time Task Assignment -- 2.6.4 Complexity Analysis -- 2.7 Online Job Assignment -- 2.7.1 Online Schedulability Test -- 2.7.2 Job Assignment Strategy -- 2.7.3 Complexity Analysis -- 2.8 Performance Evaluation -- 2.8.1 Compared Approaches -- 2.8.2 Schedulability Test Results -- 2.8.3 Online Job Assignment Tests -- 2.9 Summary -- 3 Workload-Aware Scheduling of Real-Time Independent Tasks in Cloud -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Related Models -- 3.3.1 Virtual CPU Model -- 3.3.2 Real-Time Job Model -- 3.3.3 Power Model of Virtual Machine -- 3.4 Problem Formulation -- 3.4.1 Input -- 3.4.2 Output -- 3.4.3 Constraints -- 3.4.4 Objective -- 3.5 Scheduling Jobs in a Single Server -- 3.5.1 Power Analysis -- 3.5.2 Problem Transformation -- 3.5.3 Dynamic Programming -- 3.6 Scheduling Jobs in Multiple Servers -- 3.6.1 Server Energy Efficiency -- 3.6.2 Job Placement in Multiple Servers -- 3.7 Online Workload-Aware Scheduling -- 3.7.1 Job Frequency Profile -- 3.7.2 Energy-Efficient Job Accommodation Scheme -- 3.8 Performance Evaluation -- 3.8.1 Simulation Setup -- 3.8.2 Compared Approaches -- 3.8.3 Results -- 3.9 Summary -- 4 Energy-Minimized Scheduling of Real-Time Dependent Tasks in Cloud -- 4.1 Introduction -- 4.2 Related Work -- 4.3 Problem Formulation -- 4.3.1 Inputs -- 4.3.2 Output -- 4.3.3 Objective -- 4.3.4 Constraints -- 4.4 Energy-Efficient Scheduling Without Real-Time Constraint -- 4.4.1 Energy Consumption-Minimized Task Placement Plan -- 4.4.2 Partition Scheduling -- 4.5 Scheduling with Real-Time Constraint -- 4.5.1 Task Placement Adjustment Strategy -- 4.5.2 Start Time Adjustment -- 4.5.3 Schedule Adjustment in a Backward Way -- 4.6 Performance Evaluation -- 4.6.1 Simulation Setup -- 4.6.2 Compared Approaches -- 4.6.3 Results -- 4.7 Summary -- 5 Workload-Aware Scheduling of Real-Time Dependent Tasks in Vehicular Edge Computing -- 5.1 Introduction -- 5.2 Related Work -- 5.3 Models and Problem Formulation -- 5.3.1 Vehicular Computing Model -- 5.3.2 Application Model -- 5.3.3 Power Model -- 5.3.4 Response Time Model -- 5.3.5 Problem Formulation -- 5.4 Decentralized Auction-Bid Scheduling Scheme -- 5.4.1 Auction-Bid Strategy -- 5.4.2 Task Prioritization -- 5.4.3 Task Assignment and Execution -- 5.4.4 Power Management -- 5.5 Group Scheduling Scheme -- 5.5.1 Task Execution of Multiple Applications -- 5.5.2 Application Group and Allocation -- 5.6 Evaluation -- 5.6.1 Simulation Setup -- 5.6.2 Performance Results -- 5.7 Summary -- 6 Scheduling Multiple-Criticality Dependent Tasks in Vehicular Edge Computing System -- 6.1 Introduction -- 6.2 Related Work -- 6.3 Problem Formulation -- 6.3.1 Input -- 6.3.2 Output -- 6.3.3 Constraints -- 6.4 Response Time Analysis -- 6.4.1 Task's Response Time in a Virtual Machine -- 6.4.2 Application's Response Time -- 6.5 Scheduling at 1-Level Mode -- 6.5.1 Application Decomposition -- 6.5.2 State-Transition Equation -- 6.5.3 Dynamic Programming -- 6.6 Mixed-Criticality Scheduling -- 6.6.1 Mixed-Criticality Schedulability Test -- 6.6.2 Online Management by Frequency Prediction -- 6.7 Performance Evaluation -- 6.7.1 Compared Approaches -- 6.7.2 Results -- 6.8 Summary -- 7 Real-World Applications of Scheduling Technologies -- 7.1 Introduction -- 7.2 Traffic Management -- 7.3 Smart Agriculture with IoT -- 7.4 Healthcare Monitoring Systems -- 7.5 Concluding Remarks -- 8 Summary and Future Research -- 8.1 Summary -- 8.2 Future Research -- Index.
Özet:
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.
Notlar:
John Wiley and Sons
Tür:
Elektronik Erişim:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781394361656Kopya:
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Kütüphane | Materyal Türü | Demirbaş Numarası | Yer Numarası | Durumu/İade Tarihi | Materyal Ayırtma |
|---|---|---|---|---|---|
Arıyor... | E-Kitap | 600358-1001 | QA76.585 .H83 2025 | Arıyor... | Arıyor... |
