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020			_a9783030717568
024	7		_a10.1007/978-3-030-71756-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.A97 _b2021 EB
245	0	0	_aAutonomic Computing in Cloud Resource Management in Industry 4.0 _cedited by Tanupriya Choudhury, Bhupesh Kumar Dewangan, Ravi Tomar, Bhupesh Kumar Singh, Teoh Teik Toe, Nguyen Gia Nhu
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XVI, 409 páginas) _b 135 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aEAI/Springer Innovations in Communication and Computing _x2522-8609
490	0		_aEngineering (SpringerNature-11647)
490	0		_aEngineering (R0) (SpringerNature-43712)
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	3		_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.
988			_aSpringer_Engineering_2021
650		7	_2embne _aSeguridad informática _9158200
650		7	_2embne _9666069 _aInformática en la nube
700	1		_aChoudhury, Tanupriya _eeditor literario _4http://id.loc.gov/vocabulary/relators/edt _9681688
700	1		_aDewangan, Bhupesh Kumar _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt _9682300
700	1		_aTomar, Ravi _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt _9681686
700	1		_aSingh, Bhupesh Kumar _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt _9682301
700	1		_aToe, Teoh Teik _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt _9682302
700	1		_aNguyen, Nhu Gia _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt _9670758
776	0	8	_iPrinted edition: _z9783030717551
776	0	8	_iPrinted edition: _z9783030717575
776	0	8	_iPrinted edition: _z9783030717582
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-71756-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dz _eIG _zSI