Big-Data Analytics and Cloud Computing Theory, Algorithms and Applic
This important and timely text/reference reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia
- PDF / 4,558,303 Bytes
- 178 Pages / 439.43 x 683.15 pts Page_size
- 75 Downloads / 290 Views
Analytics and Cloud Computing Theory, Algorithms and Applications
Big-Data Analytics and Cloud Computing
Marcello Trovati • Richard Hill • Ashiq Anjum Shao Ying Zhu • Lu Liu Editors
Big-Data Analytics and Cloud Computing Theory, Algorithms and Applications
123
Editors Marcello Trovati Department of Computing and Mathematics University of Derby Derby, UK
Richard Hill Department of Computing and Mathematics University of Derby Derby, UK
Ashiq Anjum Department of Computing and Mathematics University of Derby Derby, UK
Shao Ying Zhu Department of Computing and Mathematics University of Derby Derby, UK
Lu Liu Department of Computing and Mathematics University of Derby Derby, UK
ISBN 978-3-319-25311-4 DOI 10.1007/978-3-319-25313-8
ISBN 978-3-319-25313-8 (eBook)
Library of Congress Control Number: 2015958882 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www. springer.com)
Foreword
Among developments that have led to the domain of cloud computing, we may consider the following. Very often, the workplace is now distributed and potentially even global. Next, there is the ever-increasing use being made of background ‘big data’. When data is produced in real time and dynamically evolving, then a cloud platform is highly beneficial. Next comes the wide range of platforms used for access and use of data and information. In this picture, mobile and networked platforms are prominent. So too are the varied aspects of pervasive and ubiquitous computing and systems. Cloud platforms are the foundations for our physical and virtual environments that are empowered increasingly by the Internet of Things. That is, the general progression that enables smarter cities and other related developments. Among these also are the smart workplace and the smart learning
Data Loading...
