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020 _a9783030717568
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024 7 _a10.1007/978-3-030-71756-8
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072 7 _aTJK
_2bicssc
072 7 _aTEC041000
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072 7 _aTJK
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082 0 4 _a621.382
_223
245 1 0 _aAutonomic Computing in Cloud Resource Management in Industry 4.0
_h[electronic resource] /
_cedited by Tanupriya Choudhury, Bhupesh Kumar Dewangan, Ravi Tomar, Bhupesh Kumar Singh, Teoh Teik Toe, Nguyen Gia Nhu.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXVI, 409 p. 135 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aEAI/Springer Innovations in Communication and Computing,
_x2522-8609
505 0 _aIntroduction -- 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 _aThis 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 0 _aTelecommunication.
_910437
650 0 _aComputer networks .
_931572
650 0 _aSignal processing.
_94052
650 0 _aMathematical optimization.
_94112
650 0 _aCoding theory.
_94154
650 0 _aInformation theory.
_914256
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aComputer Communication Networks.
_948713
650 2 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aOptimization.
_948714
650 2 4 _aCoding and Information Theory.
_948715
700 1 _aChoudhury, Tanupriya.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_948716
700 1 _aDewangan, Bhupesh Kumar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_948717
700 1 _aTomar, Ravi.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_948718
700 1 _aSingh, Bhupesh Kumar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_948719
700 1 _aToe, Teoh Teik.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_948720
700 1 _aNhu, Nguyen Gia.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_948721
710 2 _aSpringerLink (Online service)
_948722
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783030717575
776 0 8 _iPrinted edition:
_z9783030717582
830 0 _aEAI/Springer Innovations in Communication and Computing,
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856 4 0 _uhttps://doi.org/10.1007/978-3-030-71756-8
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