Scheduling Tasks in Distributed Cloud and Edge Computing Systems with Evolutionary Optimizers
暫譯: 在分散式雲端與邊緣計算系統中使用演化優化器進行任務排程
Yuan, Haitao, Bi, Jing, Zhou, Mengchu
- 出版商: Springer
- 出版日期: 2026-07-22
- 售價: $9,230
- 貴賓價: 9.5 折 $8,768
- 語言: 英文
- 頁數: 502
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032183995
- ISBN-13: 9783032183996
-
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
This book focuses on the challenges and solutions for scheduling tasks in distributed cloud and edge computing systems, with a particular emphasis on predicting workload and resources and optimizing performance and resource utilization through innovative algorithms and methodologies. The book provides an in-depth exploration of theoretical and practical aspects across seven comprehensive parts. The book first introduces the key concepts of cloud computing, edge computing, and their convergence in distributed cloud-edge systems. The authors then lay the groundwork for understanding workload prediction, energy management, and integrating cloud-edge infrastructures with large artificial intelligence (AI) models. The book then presents a detailed examination of workload and resource prediction techniques. Next, task scheduling is explored with a focus on energy efficiency and performance in unmanned aerial vehicles (UAVs), satellite-terrestrial edge networks, etc. The book also delves into integrating large-scale AI models within cloud-edge systems and introduces innovative practices of new infrastructure in cloud-edge systems. Finally, real-world applications of distributed cloud-edge systems are discussed across various domains. This book provides valuable resources for researchers, engineers, and professionals seeking to advance their knowledge of distributed cloud and edge computing systems and their applications in emerging areas.
商品描述(中文翻譯)
本書專注於分散式雲端與邊緣計算系統中任務排程的挑戰與解決方案，特別強調預測工作負載與資源，並透過創新的演算法與方法優化性能與資源利用率。本書深入探討七個全面性的部分中的理論與實務面向。首先，本書介紹雲端計算、邊緣計算及其在分散式雲邊系統中的融合的關鍵概念。接著，作者為理解工作負載預測、能源管理以及將雲邊基礎設施與大型人工智慧（AI）模型整合奠定基礎。然後，本書詳細檢視工作負載與資源預測技術。接下來，探討任務排程，重點放在無人機（UAV）、衛星-地面邊緣網路等領域的能源效率與性能。本書還深入探討在雲邊系統中整合大型AI模型，並介紹雲邊系統中新基礎設施的創新實踐。最後，討論分散式雲邊系統在各個領域的實際應用。本書為研究人員、工程師及專業人士提供了寶貴的資源，幫助他們提升對分散式雲端與邊緣計算系統及其在新興領域應用的知識。
作者簡介
Haitao Yuan, IEEE Senior Member, received the Ph.D. degree in Computer Engineering from New Jersey Institute of Technology (NJIT), Newark, NJ, USA in 2020. He is currently a Deputy Director in the Department of Strategic Development, Wenchang International Aerospace City Administration, Hainan, China. He is currently an Associate Professor at the School of Automation Science and Electrical Engineering at Beihang University, Beijing, China, and he is named in the world's top 2% of Scientists List since 2022. His research interests include the Internet of Things, edge intelligence, deep learning, data-driven optimization, and computational intelligence algorithms. He received the Chinese Government Award for Outstanding Self-Financed Students Abroad, the 2021 Hashimoto Prize from NJIT, the Best Work Award in the 17th International Conference on Networking, Sensing and Control, and the Best Student Work Award Nominee in the 2024 IEEE International Conference on Systems, Man, and Cybernetics. He is an associate editor for IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Internet of Things Journal, and Expert Systems With Applications.
Jing Bi (Senior Member, IEEE) received her B.S., and Ph.D. degrees in Computer Science from Northeastern University, Shenyang, China, in 2003 and 2011, respectively. She is currently a Professor with the Faculty of Information Technology, Beijing University of Technology, Beijing, China. She has over 170 publications in international journals and conference proceedings. Her research interests include distributed computing, cloud & edge computing, large-scale data analytics, machine learning, industrial internet, and performance optimization. She is now an Associate Editor of IEEE Transactions on Systems Man and Cybernetics: Systems. She is a senior member of the IEEE.
MengChu Zhou (Fellow, IEEE) received the B.S. degree in control engineering from Nanjing University of Science and Technology, Nanjing, China, in 1983, the M.S. degree in automatic control from Beijing Institute of Technology, Beijing, China, in 1986, and the Ph.D. degree in computer and systems engineering from Rensselaer Polytechnic Institute, Troy, NY, USA, in 1990., He joined the Department of Electrical and Computer Engineering, New Jersey Institute of Technology in 1990, and is now a Distinguished Professor. His interests are in intelligent automation/transportation, robotics, Petri nets, Internet of Things, edge/cloud computing, and big data analytics. He has over 1300 publications including 17 books.
Rajkumar Buyya (Fellow, IEEE) is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He received a B.E and M.E in Computer Science and Engineering from Mysore and Bangalore Universities in 1992 and 1995, respectively, and a Ph.D. in Computer Science and Software Engineering from Monash University, Melbourne, Australia, in 2002. He was a Future Fellow of the Australian Research Council from 2012 to 2016. He has authored over 800 publications and seven textbooks. He is one of the highly cited authors in computer science and software engineering worldwide, with over 166,712 citations and an h-index of 176. He was recognized as a ``Web of Science Highly Cited Researcher" from 2016 to 2021 by Thomson Reuters.
作者簡介(中文翻譯)
Haitao Yuan，IEEE 高級會員，於 2020 年在美國新澤西州紐瓦克的新澤西理工學院 (NJIT) 獲得計算機工程博士學位。他目前是中國海南省文昌國際航天城管理局戰略發展部的副主任，同時也是北京航空航天大學自動化科學與電氣工程學院的副教授，自 2022 年以來，他被列入全球前 2% 科學家名單。他的研究興趣包括物聯網、邊緣智能、深度學習、數據驅動優化和計算智能算法。他曾獲得中國政府頒發的優秀自費留學生獎、2021 年 NJIT 的橋本獎、第 17 屆國際網絡、感測與控制會議最佳作品獎，以及 2024 年 IEEE 系統、人類與控制論國際會議最佳學生作品提名獎。他是《IEEE 系統、人類與控制論期刊：系統》、《IEEE 物聯網期刊》和《應用專家系統》的副編輯。
Jing Bi（IEEE 高級會員）於 2003 年和 2011 年分別在中國沈陽的東北大學獲得計算機科學學士和博士學位。她目前是北京工業大學信息技術學院的教授。她在國際期刊和會議論文集中發表了超過 170 篇論文。她的研究興趣包括分散式計算、雲端與邊緣計算、大規模數據分析、機器學習、工業互聯網和性能優化。她目前是《IEEE 系統、人類與控制論期刊：系統》的副編輯。她是 IEEE 的高級會員。
MengChu Zhou（IEEE 會士）於 1983 年在中國南京的南京科技大學獲得控制工程學士學位，1986 年在北京理工大學獲得自動控制碩士學位，1990 年在美國紐約州特洛伊的倫斯勒理工學院獲得計算機與系統工程博士學位。他於 1990 年加入新澤西理工學院電氣與計算機工程系，現為傑出教授。他的研究興趣包括智能自動化/交通、機器人、Petri 網、物聯網、邊緣/雲計算和大數據分析。他擁有超過 1300 篇出版物，包括 17 本書籍。
Rajkumar Buyya（IEEE 會士）是澳大利亞墨爾本大學的 Redmond Barry 傑出教授及雲計算與分散式系統 (CLOUDS) 實驗室主任。他於 1992 年和 1995 年分別在邁索爾和班加羅爾大學獲得計算機科學與工程的學士和碩士學位，並於 2002 年在澳大利亞墨爾本的莫納什大學獲得計算機科學與軟體工程博士學位。他曾於 2012 年至 2016 年擔任澳大利亞研究委員會的未來研究員。他已發表超過 800 篇論文和七本教科書。他是全球計算機科學和軟體工程領域的高被引作者之一，擁有超過 166,712 次引用和 176 的 h 指數。他於 2016 年至 2021 年被湯森路透評選為「Web of Science 高被引研究者」。
