國立虎尾科技大學 |

Edge computing = fundamentals, advances and applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Edge computing/ K. Anitha Kumari ... [et al.]
Reminder of title:	fundamentals, advances and applications /
other author:	Kumari, K. Anitha.
Published:	Boca Raton, FL :CRC Press, : 2022.,
Description:	1 online resource.
Subject:	Edge computing. -
Online resource:	https://www.taylorfrancis.com/books/9781003230946
ISBN:	9781003230946

Edge computing = fundamentals, advances and applications /
Edge computingfundamentals, advances and applications /[electronic resource] :K. Anitha Kumari ... [et al.] - 1st ed. - Boca Raton, FL :CRC Press,2022. - 1 online resource. - Advances in industry 4.0 and machine learning. - Advances in industry 4.0 and machine learning..

Includes bibliographical references and index.

"This reference text presents the state-of-the-art in edge computing, its primitives, devices and simulators, applications, and healthcare-based case studies. The text provides integration of blockchain with edge computing systems and integration of edge with Internet of Things (IoT) and cloud computing. It will facilitate the readers to setup edge-based environment and work with edge analytics. It covers important topics including cluster computing, fog computing, networking architecture, edge computing simulators, edge analytics, privacy-preserving schemes, edge computing with blockchain, autonomous vehicles, and cross-domain authentication. Aimed at senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and information technology, this text: Discusses edge data storage security with case studies and blockchain integration with edge computing system. Covers theoretical methods with the help of applications, use cases, case studies, and examples. Provides healthcare real-time case studies are elaborated in detailed by utilizing the virtues of homomorphic encryption. Discusses real-time interfaces, devices, and simulators in detail"--

ISBN: 9781003230946

LCCN: 2021027969Subjects--Topical Terms:

1218269
Edge computing.

LC Class. No.: QA76.583

Dewey Class. No.: 005.75/8

Edge computing = fundamentals, advances and applications /
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245 0 0 $a Edge computing $h [electronic resource] : $b fundamentals, advances and applications / $c K. Anitha Kumari ... [et al.]
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, $c 2022.
300 $a 1 online resource.
490 1 $a Advances in industry 4.0 and machine learning
504 $a Includes bibliographical references and index.
520 $a "This reference text presents the state-of-the-art in edge computing, its primitives, devices and simulators, applications, and healthcare-based case studies. The text provides integration of blockchain with edge computing systems and integration of edge with Internet of Things (IoT) and cloud computing. It will facilitate the readers to setup edge-based environment and work with edge analytics. It covers important topics including cluster computing, fog computing, networking architecture, edge computing simulators, edge analytics, privacy-preserving schemes, edge computing with blockchain, autonomous vehicles, and cross-domain authentication. Aimed at senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and information technology, this text: Discusses edge data storage security with case studies and blockchain integration with edge computing system. Covers theoretical methods with the help of applications, use cases, case studies, and examples. Provides healthcare real-time case studies are elaborated in detailed by utilizing the virtues of homomorphic encryption. Discusses real-time interfaces, devices, and simulators in detail"-- $c Provided by publisher.
588 $a Description based on print version record and CIP data provided by publisher.
650 0 $a Edge computing. $3 1218269
700 1 $a Kumari, K. Anitha. $3 1458125
830 0 $a Advances in industry 4.0 and machine learning. $3 1458126
856 4 0 $u https://www.taylorfrancis.com/books/9781003230946