Integrating Edge Intelligence and Blockchain : What, Why, and How
Language: English
Published by Springer, 2022
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - 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.…
Seller Inventory # 9783031101854
- Title
- Integrating Edge Intelligence and Blockchain : What, Why, and How
- Author
- Xiaoxu Ren
- Publisher
- Springer
- Publication year
- 2022
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3031101855
- ISBN 13
- 9783031101854
- Item weight
- 382 grams
- Dimensions
- 241x160x13 mm
- 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.
"Synopsis" may belong to another edition of this title.
About the Author
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