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Cooperative and distributed intelligent computation in fog computingconcepts, architectures, and frameworks /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Cooperative and distributed intelligent computation in fog computingby Hoa Tran-Dang, Dong-Seong Kim.
其他題名:	concepts, architectures, and frameworks /
作者:	Tran-Dang, Hoa.
其他作者:	Kim, Dong-Seong.
出版者:	Cham :Springer Nature Switzerland :2023.
面頁冊數:	xvii, 202 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Electronic data processingDistributed processing.
電子資源:	https://doi.org/10.1007/978-3-031-33920-2
ISBN:	9783031339202$q(electronic bk.)

Cooperative and distributed intelligent computation in fog computingconcepts, architectures, and frameworks /
Tran-Dang, Hoa.

Cooperative and distributed intelligent computation in fog computingconcepts, architectures, and frameworks /[electronic resource] :by Hoa Tran-Dang, Dong-Seong Kim. - Cham :Springer Nature Switzerland :2023. - xvii, 202 p. :ill. (some col.), digital ;24 cm.

This informative text/reference presents a detailed review of the state of the art in fog computing paradigm. In particular, the book examines a broad range of important cooperative and distributed computation algorithms, along with their design objectives and technical challenges. The coverage includes the conceptual fundamental of fog computing, its practical applications, cooperative and distributed computation algorithms using optimization, swarm intelligence, matching theory, and reinforcement learning methods. Discussions are also provided on remaining challenges and open research issues for designing and developing the efficient distributed computation solutions in the next-generation of fog-enabled IoT systems.

ISBN: 9783031339202$q(electronic bk.)

Standard No.: 10.1007/978-3-031-33920-2doiSubjects--Topical Terms:

182427
Electronic data processing
--Distributed processing.

LC Class. No.: QA76.9.D5

Dewey Class. No.: 004.6

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520 $a This informative text/reference presents a detailed review of the state of the art in fog computing paradigm. In particular, the book examines a broad range of important cooperative and distributed computation algorithms, along with their design objectives and technical challenges. The coverage includes the conceptual fundamental of fog computing, its practical applications, cooperative and distributed computation algorithms using optimization, swarm intelligence, matching theory, and reinforcement learning methods. Discussions are also provided on remaining challenges and open research issues for designing and developing the efficient distributed computation solutions in the next-generation of fog-enabled IoT systems.
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