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010   $a3-319-45145-6
024 7 $a10.1007/978-3-319-45145-9
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035   $a(DE-He213)978-3-319-45145-9
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035   $a(EXLCZ)993710000000952865
100   $a20161119d2017      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdvances in Mobile Cloud Computing and Big Data in the 5G Era /$fedited by Constandinos X. Mavromoustakis, George Mastorakis, Ciprian Dobre
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (VIII, 382 p. 149 illus., 127 illus. in color.) 
225 1 $aStudies in Big Data,$x2197-6503 ;$v22
311   $a3-319-45143-X 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aIntroduction and Applications of MCC and Big Data Paradigm in 5G Access -- Architectures of MCC and Big Data Paradigm -- MCC and Big Data Paradigm in Smart Ambient Systems -- MCC and Big Data Control and Data Management.
330   $aThis book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks. The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art on Big Data management. It demonstrates and discusses methods and practices to improve multi-source Big Data manipulation techniques, as well as the integration of resources availability through the 3As (Anywhere, Anything, Anytime) paradigm, using the 5G access technologies.
410  0$aStudies in Big Data,$x2197-6503 ;$v22
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aElectrical engineering
606   $aData mining
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aElectrical engineering.
615  0$aData mining.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aCommunications Engineering, Networks.
615 24$aData Mining and Knowledge Discovery.
676   $a004.165
702   $aMavromoustakis$b Constandinos X$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aMastorakis$b George$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aDobre$b Ciprian$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910151661303321
996   $aAdvances in Mobile Cloud Computing and Big Data in the 5G Era$92276670
997   $aUNINA