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02970nam a22005295i 4500 |
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978-3-319-45145-9 |
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DE-He213 |
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20161119141207.0 |
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cr nn 008mamaa |
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161119s2017 gw | s |||| 0|eng d |
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|a 9783319451459
|9 978-3-319-45145-9
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|a 10.1007/978-3-319-45145-9
|2 doi
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|d GrThAP
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|a Q342
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|a UYQ
|2 bicssc
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|a COM004000
|2 bisacsh
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|a 006.3
|2 23
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|a Advances in Mobile Cloud Computing and Big Data in the 5G Era
|h [electronic resource] /
|c edited by Constandinos X. Mavromoustakis, George Mastorakis, Ciprian Dobre.
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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| 300 |
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|a VIII, 382 p. 149 illus., 127 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a Studies in Big Data,
|x 2197-6503 ;
|v 22
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| 505 |
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|a Introduction 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.
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| 520 |
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|a This 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.
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| 650 |
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|a Engineering.
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| 650 |
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|a Data mining.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Computational intelligence.
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| 650 |
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|a Electrical engineering.
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| 650 |
1 |
4 |
|a Engineering.
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| 650 |
2 |
4 |
|a Computational Intelligence.
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| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
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| 650 |
2 |
4 |
|a Communications Engineering, Networks.
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| 650 |
2 |
4 |
|a Data Mining and Knowledge Discovery.
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| 700 |
1 |
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|a Mavromoustakis, Constandinos X.
|e editor.
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| 700 |
1 |
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|a Mastorakis, George.
|e editor.
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| 700 |
1 |
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|a Dobre, Ciprian.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783319451435
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| 830 |
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0 |
|a Studies in Big Data,
|x 2197-6503 ;
|v 22
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-45145-9
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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