國立虎尾科技大學 |

Autonomic Computing in Cloud Resource Management in Industry 4.0

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Autonomic Computing in Cloud Resource Management in Industry 4.0/ edited by Tanupriya Choudhury, Bhupesh Kumar Dewangan, Ravi Tomar, Bhupesh Kumar Singh, Teoh Teik Toe, Nguyen Gia Nhu.
其他作者:	Nhu, Nguyen Gia.
面頁冊數:	XVI, 409 p. 135 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Coding and Information Theory. -
電子資源:	https://doi.org/10.1007/978-3-030-71756-8
ISBN:	9783030717568

Autonomic Computing in Cloud Resource Management in Industry 4.0
Autonomic Computing in Cloud Resource Management in Industry 4.0[electronic resource] /edited by Tanupriya Choudhury, Bhupesh Kumar Dewangan, Ravi Tomar, Bhupesh Kumar Singh, Teoh Teik Toe, Nguyen Gia Nhu. - 1st ed. 2021. - XVI, 409 p. 135 illus. in color.online resource. - EAI/Springer Innovations in Communication and Computing,2522-8609. - EAI/Springer Innovations in Communication and Computing,.

Introduction -- Introduction to Cloud Resource Management -- Autonomic Computing in Cloud -- Model, and Applications -- Issues and challenges in Autonomic computing and resource management -- The architecture of Autonomic Cloud Resource Management -- A self-adaptable framework to find best optimization techniques -- Healing application against resource failure -- Modelling re-installation components to adapt system configuration -- Self-protection application to defend the malicious request -- Resource management system for scheduling -- Comparative Analysis of various autonomic management systems in the cloud -- Applicability of Autonomic computing in resource management -- Conclusion.

This book describes the next generation of industry—Industry 4.0—and how it holds the promise of increased flexibility in manufacturing, along with automation, better quality, and improved productivity. The authors discuss how it thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. The authors posit that intelligent cloud services and resource sharing play an important role in Industry 4.0 anticipated Fourth Industrial Revolution. This book serves the different issues and challenges in cloud resource management CRM techniques with proper propped solution for IT organizations. The book features chapters based on the characteristics of autonomic computing with its applicability in CRM. Each chapter features the techniques and analysis of each mechanism to make better resource management in cloud. Describes self-adaptable framework to find the best optimization techniques automatically based on issues and platforms; Presents a self-optimized model to find the optimal resource from the resource pool; Includes applications to diagnose and heal the system failure, and protect from malicious attacks.

ISBN: 9783030717568

Standard No.: 10.1007/978-3-030-71756-8doiSubjects--Topical Terms:

669784
Coding and Information Theory.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

Autonomic Computing in Cloud Resource Management in Industry 4.0
LDR:03426nam a22004095i 4500 001 1052103
003 DE-He213
005 20211115203835.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030717568 $9 978-3-030-71756-8
024 7 $a 10.1007/978-3-030-71756-8 $2 doi
035 $a 978-3-030-71756-8
050 4 $a TK1-9971
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 621.382 $2 23
245 1 0 $a Autonomic Computing in Cloud Resource Management in Industry 4.0 $h [electronic resource] / $c edited by Tanupriya Choudhury, Bhupesh Kumar Dewangan, Ravi Tomar, Bhupesh Kumar Singh, Teoh Teik Toe, Nguyen Gia Nhu.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XVI, 409 p. 135 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a EAI/Springer Innovations in Communication and Computing, $x 2522-8609
505 0 $a Introduction -- Introduction to Cloud Resource Management -- Autonomic Computing in Cloud -- Model, and Applications -- Issues and challenges in Autonomic computing and resource management -- The architecture of Autonomic Cloud Resource Management -- A self-adaptable framework to find best optimization techniques -- Healing application against resource failure -- Modelling re-installation components to adapt system configuration -- Self-protection application to defend the malicious request -- Resource management system for scheduling -- Comparative Analysis of various autonomic management systems in the cloud -- Applicability of Autonomic computing in resource management -- Conclusion.
520 $a This book describes the next generation of industry—Industry 4.0—and how it holds the promise of increased flexibility in manufacturing, along with automation, better quality, and improved productivity. The authors discuss how it thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. The authors posit that intelligent cloud services and resource sharing play an important role in Industry 4.0 anticipated Fourth Industrial Revolution. This book serves the different issues and challenges in cloud resource management CRM techniques with proper propped solution for IT organizations. The book features chapters based on the characteristics of autonomic computing with its applicability in CRM. Each chapter features the techniques and analysis of each mechanism to make better resource management in cloud. Describes self-adaptable framework to find the best optimization techniques automatically based on issues and platforms; Presents a self-optimized model to find the optimal resource from the resource pool; Includes applications to diagnose and heal the system failure, and protect from malicious attacks.
650 2 4 $a Coding and Information Theory. $3 669784
650 2 4 $a Optimization. $3 669174
650 2 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Computer Communication Networks. $3 669310
650 1 4 $a Communications Engineering, Networks. $3 669809
650 0 $a Information theory. $3 595305
650 0 $a Coding theory. $3 561460
650 0 $a Mathematical optimization. $3 527675
650 0 $a Speech processing systems. $3 564428
650 0 $a Image processing. $3 557495
650 0 $a Signal processing. $3 561459
650 0 $a Computer communication systems. $3 1115394
650 0 $a Electrical engineering. $3 596380
700 1 $a Nhu, Nguyen Gia. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1356731
700 1 $a Toe, Teoh Teik. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1356730
700 1 $a Singh, Bhupesh Kumar. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1356729
700 1 $a Tomar, Ravi. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1354724
700 1 $a Dewangan, Bhupesh Kumar. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1356728
700 1 $a Choudhury, Tanupriya. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1354725
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030717551
776 0 8 $i Printed edition: $z 9783030717575
776 0 8 $i Printed edition: $z 9783030717582
830 0 $a EAI/Springer Innovations in Communication and Computing, $x 2522-8595 $3 1288259
856 4 0 $u https://doi.org/10.1007/978-3-030-71756-8
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)