This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The book is a state-of-the-art reference discussing progress made, as well as prompting future directions on the theories, practices, standards and strategies that are related to the emerging computational technologies and their association with supporting the Internet of Things advanced functioning for organizational settings including both business and e-science. Apart from inter-operable and inter-cooperative aspects, the book deals with a notable opportunity namely, the current trend in which a collectively shared and generated content is emerged from Internet end-users. Specifically, the book presents advances on managing and exploiting the vast size of data generated from within the smart environment (i.e. smart cities) towards an integrated, collective intelligence approach. The book also presents methods and practices to improve large storage infrastructures in response to increasing demands of the data intensive applications.
%0 Book
%1 BessisDobre2014
%B Studies in Computational Intelligence
%C Cham
%D 2014
%E Bessis, Nik
%E Dobre, Ciprian
%I Springer
%K 01614 103 springer book embedded ai network application architecture data management analysis zzz.iot zzz.big
%R 10.1007/978-3-319-05029-4
%T Big Data and Internet of Things: A Roadmap for Smart Environments
%V 546
%X This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The book is a state-of-the-art reference discussing progress made, as well as prompting future directions on the theories, practices, standards and strategies that are related to the emerging computational technologies and their association with supporting the Internet of Things advanced functioning for organizational settings including both business and e-science. Apart from inter-operable and inter-cooperative aspects, the book deals with a notable opportunity namely, the current trend in which a collectively shared and generated content is emerged from Internet end-users. Specifically, the book presents advances on managing and exploiting the vast size of data generated from within the smart environment (i.e. smart cities) towards an integrated, collective intelligence approach. The book also presents methods and practices to improve large storage infrastructures in response to increasing demands of the data intensive applications.
%@ 978-3-319-05028-7
@book{BessisDobre2014,
abstract = {This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The book is a state-of-the-art reference discussing progress made, as well as prompting future directions on the theories, practices, standards and strategies that are related to the emerging computational technologies and their association with supporting the Internet of Things advanced functioning for organizational settings including both business and e-science. Apart from inter-operable and inter-cooperative aspects, the book deals with a notable opportunity namely, the current trend in which a collectively shared and generated content is emerged from Internet end-users. Specifically, the book presents advances on managing and exploiting the vast size of data generated from within the smart environment (i.e. smart cities) towards an integrated, collective intelligence approach. The book also presents methods and practices to improve large storage infrastructures in response to increasing demands of the data intensive applications.},
added-at = {2015-11-06T13:19:22.000+0100},
address = {Cham},
biburl = {https://www.bibsonomy.org/bibtex/271c7db4dbb77f7659ad0af2aaf8c3b3f/flint63},
doi = {10.1007/978-3-319-05029-4},
editor = {Bessis, Nik and Dobre, Ciprian},
file = {Springer Pro:2014/BessisDobre2014.pdf:PDF;Springer for Professionals:http\://www.springerprofessional.de/big-data-and-internet-of-things-a-roadmap-for-smart-environments/2099588:URL;Springer Product page:http\://www.springer.com/978-3-319-05028-7:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/3319050281/:URL},
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intrahash = {71c7db4dbb77f7659ad0af2aaf8c3b3f},
isbn = {978-3-319-05028-7},
issn = {1860-949X},
keywords = {01614 103 springer book embedded ai network application architecture data management analysis zzz.iot zzz.big},
publisher = {Springer},
series = {Studies in Computational Intelligence},
timestamp = {2018-04-16T12:20:55.000+0200},
title = {Big Data and Internet of Things: A Roadmap for Smart Environments},
username = {flint63},
volume = 546,
year = 2014
}