Intelligent Scheduling of Tasks for Cloud-Edge-Device Computing Systems
暫譯: 雲邊設備計算系統的智能任務調度
Hu, Biao
- 出版商: Wiley
- 出版日期: 2025-11-21
- 售價: $4,610
- 貴賓價: 9.5 折 $4,380
- 語言: 英文
- 頁數: 192
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1394361629
- ISBN-13: 9781394361625
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相關分類:
Edge computing
海外代購書籍(需單獨結帳)
相關主題
商品描述
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.
商品描述(中文翻譯)
雲邊計算系統排程方法近期研究進展的綜合概述
雲邊設備計算系統的智能任務排程 提供了一系列專為多樣化的雲邊設備計算系統設計的先進任務排程演算法的深入彙編。在簡介概述之後,介紹了一系列智能排程方法,每種方法都是針對雲邊設備計算系統中特定情境而設計的。
本書接著總結了作者近年的研究成果,深入探討資源管理、延遲和即時需求、負載平衡、優先權限制、演算法設計和性能評估等主題。本書使讀者能夠有效分配計算、儲存和網路資源,以優化資源利用率。排程技術在智慧城市與交通管理、工業自動化與智慧工廠以及健康監測系統中的實際應用將在單獨的章節中介紹。
其他主題包括:
- 針對即時獨立任務的工作負載感知排程,涵蓋如何在單一或多個伺服器上排程工作
- 汽車系統中混合即時任務排程,涵蓋混合排程設計、離線任務管理和線上工作分配
- 具即時限制的排程,涵蓋任務放置調整策略、開始時間調整和向後排程調整
- 無即時限制的能源效率排程,涵蓋能源消耗最佳的任務放置計畫以及分區排程
雲邊設備計算系統的智能任務排程 是物聯網領域研究人員和實務工作者的重要資源,旨在幫助他們理解與雲邊設備計算系統中任務排程相關的特定挑戰和需求。
作者簡介
Biao Hu is an Associate Professor with the College of Engineering at China Agricultural University.
Mingguo Zhao is a Professor with the School of Mechatronics Engineering Harbin Institute of Technology.
Zhengcai Cao is a Professor with the College of Information Science and Technology at Beijing University of Chemical Technology.
Mengchu Zhou is a Professor with the Helen and John C. Hartmann Department of Electrical and Computer Engineering at the New Jersey Institute of Technology.
作者簡介(中文翻譯)
Biao Hu 是中國農業大學工程學院的副教授。
Mingguo Zhao 是哈爾濱工業大學機電工程學院的教授。
Zhengcai Cao 是北京化工大學信息科學與技術學院的教授。
Mengchu Zhou 是新澤西理工學院海倫與約翰·C·哈特曼電氣與計算機工程系的教授。