Intelligent Resource Scheduling in End-Edge-Cloud Networks
暫譯: 邊緣雲端網路中的智能資源調度
Zhang, Weiting, Yang, Dong, Gao, Shuai
- 出版商: Springer
- 出版日期: 2026-01-10
- 售價: $6,560
- 貴賓價: 9.5 折 $6,232
- 語言: 英文
- 頁數: 146
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032076668
- ISBN-13: 9783032076663
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相關分類:
Reinforcement
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book investigates technologies that enable more powerful resources and improve resource utilization for end-edge-cloud networks. The authors cover tools such as federated learning (FL) and real-time inference in industrial IoT and they present a novel communication and computation integration architecture for end-edge-cloud networks. Under the considered end-edge-cloud network architecture, the authors then propose different resource scheduling schemes based on centralized and distributed deep reinforcement learning methods to improve overall resource utilization for guaranteeing the diversified quality of service (QoS) requirements from different applications. The proposed architecture and schemes can not only be adopted in future end-edge-cloud networks to efficiently manage the multi-dimensional resources in real time, but also provide useful guidelines for multi-dimensional resource scheduling scheme designing and resource utilization enhancement in complex end-edge-cloud networks with diversified data services and applications.
商品描述(中文翻譯)
本書探討了能夠提供更強大資源並改善終端-邊緣-雲端網路資源利用的技術。作者涵蓋了如聯邦學習 (Federated Learning, FL) 和工業物聯網中的即時推論等工具,並提出了一種新穎的通訊與計算整合架構,適用於終端-邊緣-雲端網路。在考慮的終端-邊緣-雲端網路架構下,作者提出了基於集中式和分散式深度強化學習方法的不同資源排程方案,以改善整體資源利用,確保來自不同應用的多樣化服務品質 (Quality of Service, QoS) 要求。所提出的架構和方案不僅可以在未來的終端-邊緣-雲端網路中高效地實時管理多維資源,還能為在具有多樣化數據服務和應用的複雜終端-邊緣-雲端網路中設計多維資源排程方案和提升資源利用提供有用的指導。
作者簡介
Professor Zhang Weiting earned the Ph.D. degree in Communication and Information Systems with the Beijing Jiaotong University, Beijing, China, in 2021. From Nov. 2019 to Nov. 2020, he was a visiting Ph.D student with the Department of Electrical and Computer Engineering, University of Waterloo, Canada. Starting from Dec. 2021, he works as an associate professor with the School of Electronic and Information Engineering, Beijing Jiaotong University. His research interests include industrial Internet of Things, deterministic network, smart computing integration network, and machine learning for network optimization. In the related areas, he has published over 60 journal and conference papers and over 20 granted patents.
He is serving as an associate editor for Wireless Networks; and a Guest Editor of several international journals, such as Electronics and Sensors. He also served as TPC co-chair, workshop chair, session chair, publicity co-chair, and TPC members for many international conferences, including IEEE Globecom 2023, IEEE INFOCOM 2022, IEEE ICC 2022, IEEE ICDCS 2022, IEEE iThings 2023, BIGCOM 2022, and IEEE HPCC 2021 conferences. He received 5 Best Paper Awards from IEEE ICC in 2024, IEEE INFOCOM WSH in 2024, ACM SIGCOMM China in 2023, IEEE ICCSN in 2023, and NaNA in 2023, respectively, and one Outstanding Paper Award from IEEE EUC in 2022.
Professor Yang Dong received the Ph.D. in the School of Electronics and Information Engineering from Beijing Jiaotong University, China, in 2008. From 2009 to 2010, he collaborated with ABB Corporate Research on industrial wireless networks when he worked as a post doctor in Jönköping University, Sweden. He is currently a full professor and the director of Intelligent Industry Network Research Institute at Beijing Jiaotong University, and a part-time researcher at Pengcheng National Laboratory. His current research interests focus on network architecture, Industrial Internet of Things and AI-driven network resource management. He holds more than 30 granted invention patents including two US Patents. He has authored or co-authored over 60 scientific publications in the field of network and communication technology. He was the recipient of several awards, including 2014 National Technology Invention Awards of China, 2017 National Technology Invention Awards of China, 2019 National High-level Talents Special Support Plan of China, China Patent Excellence Award, etc. He has served as the Guest editor for IEEE Transaction on Industrial Informatics, and has been serving as the IEEE Transaction on Mobile Computing and Executive Editor for Transactions on Emerging Telecommunications Technologies (Wiley).
Professor Zhang Hongke (Fellow, IEEE) received the M.S. and Ph.D. degrees in Electrical and Communication Systems from the University of Electronic Science and Technology of China, Chengdu, China, in 1988 and 1992, respectively. From 1992 to 1994, he was a Postdoctoral Researcher with Beijing Jiaotong University, Beijing, China, where he is currently a Professor with the School of Electronic and Information Engineering and the Director of the National Engineering Lab on Next Generation Internet Technologies. His research has resulted in many papers, books, patents, systems, and equipment in the areas of communications and computer networks. He is the author of more than ten books and the holder of more than 70 patents. Dr. Zhang is the Chief Scientist of the National Basic Research Program of China (973 Program) and has also served on the editorial boards of several international journals.
Professor Shen Xuemin (Fellow, IEEE) received the Ph.D. degree in Electrical Engineering from Rutgers University, New Brunswick, NJ, USA, in 1990. He is currently a University Professor with the Department of Electrical and Computer Engineering, University of Waterloo, Canada. His research focuses on network resource management, wireless network security, Internet of Things, 5G and beyond, and vehicular ad hoc and sensor networks. He is a registered Professional Engineer of Ontario, Canada, an Engineering Institute of Canada Fellow, a Canadian Academy of Engineering Fellow, a Royal Society of Canada Fellow, a Chinese Academy of Engineering Foreign Fellow, and a Distinguished Lecturer of the IEEE Vehicular Technology Society and Communications Society. Dr. Shen received the 2021 Canadian Award for Telecommunications Research, the R.A. Fessenden Award in 2019 from IEEE, Canada, James Evans Avant Garde Award in 2018 from the IEEE Vehicular Technology Society, and Joseph LoCicero Award in 2015 and Education Award in 2017 from the IEEE Communications Society. He has also received the Excellent Graduate Supervision Award in 2006 and Outstanding Performance Award 5 times from the University of Waterloo and the Premier's Research Excellence Award (PREA) in 2003 from the Province of Ontario, Canada. He served as the Technical Program Committee Chair/Co-Chair for the IEEE Globecom'16, the IEEE Infocom'14, the IEEE VTC'10 Fall, the IEEE Globecom'07, the Symposia Chair for the IEEE ICC'10, the Tutorial Chair for the IEEE VTC'11 Spring, and the Chair for the IEEE Communications Society Technical Committee on Wireless Communications. Dr. Shen is the elected IEEE Communications Society Vice President for Technical and Educational Activities, Vice President for Publications, Member-at-Large on the Board of Governors, Chair of the Distinguished Lecturer Selection Committee, Member of IEEE Fellow Selection Committee. He was/is the Editor-in-Chief of the IEEE INTERNET OF THINGS JOURNAL, IEEE Network, IET Communications, and Peer-to-Peer Networking and Applications.
作者簡介(中文翻譯)
教授張偉廷於2021年在中國北京交通大學獲得通信與信息系統的博士學位。從2019年11月到2020年11月,他在加拿大滑鐵盧大學電氣與計算機工程系擔任訪問博士生。自2021年12月起,他在北京交通大學電子與信息工程學院擔任副教授。他的研究興趣包括工業物聯網、確定性網絡、智能計算集成網絡以及用於網絡優化的機器學習。在相關領域,他已發表超過60篇期刊和會議論文,並擁有超過20項授權專利。
他擔任《無線網絡》的副編輯,並擔任多個國際期刊的客座編輯,如《電子學》和《傳感器》。他還在許多國際會議中擔任TPC共同主席、研討會主席、會議主席、宣傳共同主席和TPC成員,包括IEEE Globecom 2023、IEEE INFOCOM 2022、IEEE ICC 2022、IEEE ICDCS 2022、IEEE iThings 2023、BIGCOM 2022和IEEE HPCC 2021會議。他在2024年獲得了IEEE ICC的5項最佳論文獎,分別來自2024年的IEEE INFOCOM WSH、2023年的ACM SIGCOMM China、2023年的IEEE ICCSN和2023年的NaNA,並在2022年獲得IEEE EUC的優秀論文獎。
教授楊東於2008年在中國北京交通大學電子與信息工程學院獲得博士學位。2009年至2010年,他在瑞典延雪平大學擔任博士後研究員,與ABB企業研究合作研究工業無線網絡。他目前是北京交通大學的全職教授及智能產業網絡研究所所長,同時也是彭城國家實驗室的兼職研究員。他目前的研究興趣集中在網絡架構、工業物聯網和基於AI的網絡資源管理。他擁有超過30項授權發明專利,包括兩項美國專利。他在網絡和通信技術領域發表或共同發表了超過60篇科學出版物。他曾獲得多項獎項,包括2014年中國國家技術發明獎、2017年中國國家技術發明獎、2019年中國高層次人才特別支持計劃、中國專利優秀獎等。他曾擔任《IEEE工業信息學期刊》的客座編輯,並一直擔任《IEEE移動計算期刊》和《新興電信技術期刊》(Wiley)的執行編輯。
教授張鴻科(IEEE Fellow)於1988年和1992年分別在中國成都電子科技大學獲得電氣與通信系統的碩士和博士學位。1992年至1994年,他在中國北京交通大學擔任博士後研究員,目前是北京交通大學電子與信息工程學院的教授及下一代互聯網技術國家工程實驗室的主任。他的研究在通信和計算機網絡領域產生了許多論文、書籍、專利、系統和設備。他是十多本書的作者,擁有超過70項專利。張博士是中國國家基礎研究計劃(973計劃)的首席科學家,並曾在多個國際期刊的編輯委員會任職。
教授沈學敏(IEEE Fellow)於1990年在美國新澤西州羅格斯大學獲得電氣工程博士學位。他目前是加拿大滑鐵盧大學電氣與計算機工程系的全職教授。他的研究重點包括網絡資源管理、無線網絡安全、物聯網、5G及其以後的技術,以及車載自組網和傳感器網絡。他是加拿大安大略省的註冊專業工程師,加拿大工程學會的Fellow,加拿大工程學院的Fellow,加拿大皇家學會的Fellow,中國工程院的外籍Fellow,以及IEEE車輛技術學會和通信學會的傑出講師。沈博士獲得了2021年加拿大電信研究獎、2019年IEEE加拿大的R.A. Fessenden獎、2018年IEEE車輛技術學會的James Evans Avant Garde獎,以及2015年和2017年IEEE通信學會的Joseph LoCicero獎和教育獎。他還在2006年獲得滑鐵盧大學的優秀研究生指導獎,並五次獲得該校的傑出表現獎,以及2003年安大略省的省長研究卓越獎(PREA)。他曾擔任IEEE Globecom'16、IEEE Infocom'14、IEEE VTC'10秋季、IEEE Globecom'07的技術程序委員會主席/共同主席,IEEE ICC'10的研討會主席,IEEE VTC'11春季的教程主席,以及IEEE通信學會無線通信技術委員會的主席。沈博士是當選的IEEE通信學會技術與教育活動副主席、出版副主席、理事會成員、傑出講師選拔委員會主席及IEEE Fellow選拔委員會成員。他曾擔任《IEEE物聯網期刊》、《IEEE網絡》、《IET通信》和《點對點網絡與應用》的主編。