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Integrating Edge Intelligence and Blockchain de Xiaofei Wang

Integrating Edge Intelligence and Blockchain: Wireless Networks

Autor Xiaofei Wang, Chao Qiu, Xiaoxu Ren, Zehui Xiong, Victor C. M. Leung, Dusit Niyato
en Limba Engleză Hardback – 22 sep 2022

Ne-a atras atenția modul în care acest volum, publicat în seria Wireless Networks, abordează convergența a două tehnologii disruptive. Abordarea practică este evidentă încă din primele capitole, unde raportul dintre conceptele teoretice de Edge Intelligence (EI) și implementările Blockchain (BC) este echilibrat prin cadre de lucru (framework-uri) integrate. Subliniem faptul că autorii nu se limitează la o descriere pasivă, ci oferă soluții concrete pentru optimizarea modelelor și administrarea datelor în rețele distribuite.

Organizarea cărții urmează o progresie logică, pornind de la fundamentele ambelor tehnologii și avansând rapid către nucleul tehnic: 'EI-Chain' și 'Chain-Intelligence'. Apreciem secțiunile dedicate adaptării Blockchain-ului pentru a susține Edge Computing, incluzând protocoale de consens scalabile și contracte inteligente specializate. Această structură indică o acoperire exhaustivă a ecosistemului, de la infrastructură la aplicabilitate.

În contextul operei autorului Xiaofei Wang, lucrarea de față reprezintă o evoluție firească a temelor din Edge AI. Dacă volumul anterior se concentra pe eficiența și latența inteligenței artificiale la marginea rețelei, Integrating Edge Intelligence and Blockchain adaugă stratul critic de încredere și gestiune a resurselor prin Blockchain. Abordarea diferă de Blockchain Intelligent Systems de E. Golden Julie prin faptul că este mai puțin abstractă și mult mai aplicabilă în contextul rețelelor wireless și al comunicațiilor mobile, oferind parametrii tehnici pentru integrarea sistemelor, nu doar o trecere în revistă a beneficiilor sinergiei.

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Din seria Wireless Networks

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Specificații

ISBN-13: 9783031101854
ISBN-10: 3031101855
Pagini: 124
Ilustrații: XII, 111 p. 24 illus., 23 illus. in color.
Dimensiuni: 160 x 241 x 13 mm
Greutate: 0.38 kg
Ediția:1st ed. 2022
Editura: Springer
Colecția Wireless Networks
Seria Wireless Networks

Locul publicării:Cham, Switzerland

De ce să citești această carte

Această carte se adresează inginerilor de sistem și cercetătorilor din telecomunicații care doresc să implementeze soluții de inteligență artificială descentralizată. Cititorul câștigă o înțelegere tehnică asupra modului în care Blockchain poate rezolva problemele de securitate și gestionare a resurselor în Edge Computing. Este un ghid esențial pentru proiectarea următoarei generații de servicii inteligente omniprezente, oferind un fundament solid pentru trecerea de la teorie la arhitecturi de rețea funcționale.

Despre autor

Echipa de autori este condusă de experți recunoscuți în domeniul rețelelor wireless. Xiaofei Wang și colegii săi, printre care Victor C. M. Leung și Dusit Niyato, au o activitate vastă în cercetarea 6G și AI distribuit. Xiaofei Wang a publicat anterior lucrări de referință precum Edge AI și a coordonat conferințe internaționale dedicate rețelelor viitorului (6GN). Expertiza lor colectivă îmbină viziunea academică asupra comunicațiilor wireless cu rigoarea tehnică necesară pentru implementarea sistemelor Blockchain în medii cu resurse limitate, precum dispozitivele de tip Edge.

Descriere scurtă

This book examines whether the integration of edge intelligence (EI) and blockchain (BC) can open up new horizons for providing ubiquitous intelligent services. Accordingly, the authors conduct a summarization of the recent research efforts on the existing works for EI and BC, further painting a comprehensive picture of the limitation of EI and why BC could benefit EI. To examine how to integrate EI and BC, the authors discuss the BC-driven EI and tailoring BC to EI, including an overview, motivations, and integrated frameworks. Finally, some challenges and future directions are explored. The book explores the technologies associated with the integrated system between EI and BC, and further bridges the gap between immature BC and EI-amicable BC.
  • Explores the integration of edge intelligence (EI) and blockchain (BC), including their integrated motivations, frameworks and challenges;
  • Presents how BC-driven EI can realize computing-power management, data administration, and model optimization;
  • Describes how to tailor BC to better support EI, including flexible consensus protocol, effective incentive mechanism, intellectuality smart contract, and scalable BC system tailoring;
  • Presents some key research challenges and future directions for the integrated system.

Cuprins

Introduction.- Fundamentals of Edge Intelligence and Blockchain.- Edge Intelligence.- Blockchain.- Motivations of EI-chain and Chain-intelligence.- The Benefit of EI-chain and Chain-intelligence.- EI-Chain.- Chain-Intelligence: Intelligentializing Blockchain.- Beyond Edge.- Multi-role Applications for Consensus Protocol.- Conclusion.

Notă biografică

Xiaofei Wang (xiaofeiwang@tju.edu.cn)is currently a Professor with the Tianjin Key Laboratory of Advanced Networking, School of Computer Science and Technology, Tianjin University, China. He got master and doctor degrees in Seoul National University from 2006 to 2013, and was a Post-Doctoral Fellow with The University of British Columbia from 2014 to 2016. Focusing on the research of social-aware cloud computing, cooperative cell caching, and mobile traffic offloading, he has authored over 140 technical papers in the IEEE JSAC, the IEEE TWC, the IEEE WIRELESS COMMUNICATIONS, the IEEE COMMUNICATIONS, the IEEE TMM, the IEEE INFOCOM, and the IEEE SECON. In 2017, he received the “Fred W. Ellersick Prize” from the IEEE Communication Society.

Chao Qiu (chao.qiu@tju.edu.cn) is currently a Lecturer in the School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University. She received the B.S. degree from China Agricultural University in 2013 in Communication Engineering and the Ph.D. from Beijing University of Posts and Telecommunications in 2019 in Information and Communication Engineering. From September 2017 to September 2018, she visited Carleton University, Ottawa, ON, Canada, as a Visiting Scholar. Her current research interests include edge computing, edge intelligence, and blockchain.

Xiaoxu Ren (xiaoxuren@tju.edu.cn) received the B.S. degree in College of Science from Inner Mongolia University of Technology, China in 2016. She is currently pursuing the Ph.D. degree in College of Intelligence and Computing, Tianjin University, Tianjin, China. Her current research interests include machine learning, edge intelligence, and blockchain.

Zehui Xiong (zehui_xiong@sutd.edu.sg) is currently an Assistant Professor in the Pillar of Information Systems Technology and Design, Singapore University of Technology and Design. Prior to that, he was a researcher with Alibaba-NTU Joint Research Institute, Singapore. He received the PhD degree in Nanyang Technological University, Singapore. He was the visiting scholar at Princeton University and University of Waterloo. His research interests include wireless communications, network games and economics, blockchain, and edge intelligence. He has published more than 150 research papers in leading journals and flagship conferences and many of them are ESI Highly Cited Papers. He has won over 10 Best Paper Awards in international conferences and is listed in the World’s Top 2% Scientists identified by Stanford University. He is now serving as the editor or guest editor for many leading journals including IEEE JSAC, TVT, IoTJ, TCCN, TNSE, ISJ, JAS. He is the recipient of IEEE TCSC Early Career Researcher Award for Excellence in Scalable Computing, IEEE TEMS Technical Committee on Blockchain and Distributed Ledger Technologies Early Career Award, IEEE CSIM Technical Committee Best Journal Paper Award, IEEE SPCC Technical Committee Best Paper Award, IEEE VTS Singapore Best Paper Award, Chinese Government Award for Outstanding Students Abroad, and NTU SCSE Best PhD Thesis Runner-Up Award. He is the Founding Vice Chair of Special Interest Group on Wireless Blockchain Networks in IEEE Cognitive Networks Technical Committee.

Victor C. M. Leung (vleung@ieee.org) is currently a Distinguished Professor of computer science and software engineering with Shenzhen University, Shenzhen, China. He is also an Emeritus Professor of electrical and computer engineering and the Director of the Laboratory for Wireless Networks and Mobile Systems, the University of British Columbia (UBC), Vancouver, Canada. He received the B.A.Sc. (Hons.) and Ph.D. degrees, both in electrical engineering, from UBC in 1977 and 1982, respectively. His research is in the broad areas of wireless networks and mobile systems. Dr. Leung is a Fellow of the Royal Society of Canada, a Fellow of the Canadian Academy of Engineering, a Fellow of the Engineering Institute of Canada, and a Life Fellow of IEEE.

Dusit Niyato (dniyato@ntu.edu.sg) is a professor in the School of Computer Science and Engineering, at Nanyang Technological University, Singapore. He received B.Eng. from King Mongkuts Institute of Technology Ladkrabang (KMITL), Thailand in 1999 and Ph.D. in Electrical and Computer Engineering from the University of Manitoba, Canada in 2008. His research interests are in the areas of Internet of Things (IoT), machine learning, and incentive mechanism design.

Caracteristici

Explores the synergy of edge intelligence and blockchain and their applications and integrated frameworks Presents how EI-chain and chain-intelligence can realize reliable computing-power management Provides developers and researchers a view of EI and BC, while accelerating the design of a powerful integrated network