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001 978-3-319-45145-9
003 DE-He213
005 20211206094110.0
008 161119s2017 gw | s |||| 0|eng d
020 _a9783319451459
040 _cAIKTC-KRRC
041 _aENG
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aAdvances in Mobile Cloud Computing and Big Data in the 5G Era
_h[electronic resource] /
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aVIII, 382 p. 149 illus., 127 illus. in color.
_bCard Paper
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Big Data,
_x2197-6503 ;
_v22
520 _aThis book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks. The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art on Big Data management. It demonstrates and discusses methods and practices to improve multi-source Big Data manipulation techniques, as well as the integration of resources availability through the 3As (Anywhere, Anything, Anytime) paradigm, using the 5G access technologies.
650 0 _aComputer Engineering
_94622
653 _aComputational Intelligence, Artificial Intelligence.
653 _aCommunications Engineering, Networks.
653 _aData Mining and Knowledge Discovery.
700 1 _aMavromoustakis, Constandinos X.
_eeditor.
_0(orcid)0000-0003-0333-8034
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMastorakis, George.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDobre, Ciprian.
_eeditor.
_0(orcid)0000-0003-4638-7725
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319451435
776 0 8 _iPrinted edition:
_z9783319451442
776 0 8 _iPrinted edition:
_z9783319832227
830 0 _aStudies in Big Data,
_x2197-6503 ;
_v22
856 4 0 _uhttps://doi.org/10.1007/978-3-319-45145-9
_zClick here to access eBook in Springer Nature platform. (Within Campus only.)
942 _cEBOOKS
_2ddc