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020 _a9783319736761
_9978-3-319-73676-1
024 7 _a10.1007/978-3-319-73676-1
_2doi
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072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
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082 0 4 _a006.3
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245 1 0 _aCloud Computing for Optimization: Foundations, Applications, and Challenges
_h[electronic resource] /
_cedited by Bhabani Shankar Prasad Mishra, Himansu Das, Satchidananda Dehuri, Alok Kumar Jagadev.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXIV, 463 p. 144 illus., 112 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 _aStudies in Big Data,
_x2197-6511 ;
_v39
505 0 _aNature Inspired Optimizations in Cloud Computing: Applications and Challenges.- Resource Allocation in Cloud Computing Using OptimizationTechniques.- Energy Aware Resource Allocation Model for IaaS Optimization.- A Game Theoretic Model for Cloud Federation -- Resource Provisioning Strategy for Scientific Workflows in Cloud Computing Environment --   Consolidation in Cloud Environment Using Optimization Techniques.
520 _aThis book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like the Internet of Things, fog-assisted cloud computing, and big data. In real life, many problems – ranging from social science to engineering sciences – can be identified as complex optimization problems. Very often these are intractable, and as a result researchers from industry as well as the academic community are concentrating their efforts on developing methods of addressing them. Further, the cloud computing paradigm plays a vital role in many areas of interest, like resource allocation, scheduling, energy management, virtualization, and security, and these areas are intertwined with many optimization problems. Using illustrations and figures, this book offers students and researchers a clear overview of the concepts and practices of cloud computing and its use in numerous complex optimization problems.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aBig data.
_94174
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aBig Data.
_94174
700 1 _aMishra, Bhabani Shankar Prasad.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_956532
700 1 _aDas, Himansu.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_956533
700 1 _aDehuri, Satchidananda.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_956534
700 1 _aJagadev, Alok Kumar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_956535
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319736754
776 0 8 _iPrinted edition:
_z9783319736778
776 0 8 _iPrinted edition:
_z9783030088323
830 0 _aStudies in Big Data,
_x2197-6511 ;
_v39
_956537
856 4 0 _uhttps://doi.org/10.1007/978-3-319-73676-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79761
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