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Integrating edge intelligence and blockchainwhat, why, and how /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Integrating edge intelligence and blockchainby Xiaofei Wang ... [et al.].
其他題名:	what, why, and how /
其他作者:	Wang, Xiaofei.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xii, 111 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Computational intelligence.
電子資源:	https://doi.org/10.1007/978-3-031-10186-1
ISBN:	9783031101861$q(electronic bk.)

Integrating edge intelligence and blockchainwhat, why, and how /
Integrating edge intelligence and blockchainwhat, why, and how /[electronic resource] :by Xiaofei Wang ... [et al.]. - Cham :Springer International Publishing :2022. - xii, 111 p. :ill. (chiefly color), digital ;24 cm. - Wireless networks,2366-1445. - Wireless networks..

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.

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.

ISBN: 9783031101861$q(electronic bk.)

Standard No.: 10.1007/978-3-031-10186-1doiSubjects--Topical Terms:

210824
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Integrating edge intelligence and blockchainwhat, why, and how /
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505 0 $a 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.
520 $a 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.
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