Big-Data Analytics and Cloud Computing (PDF)
Theory, Algorithms and Applications
(Sprache: Englisch)
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...
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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 and industry are presented by an international selection of experts in big data science.
Topics and features:
- Describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures
- Examines the applications and implementations that utilize big data in cloud architectures
- Surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions
- Identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches
- Provides relevant theoretical frameworks, empirical research findings, and numerous case studies
- Discusses real-world applications of algorithms and techniques to address the challenges of big datasets
The editors are all members of the Computing and Mathematics Department at the University of Derby, UK, where Dr.
Marcello Trovati serves as a Senior Lecturer in Mathematics, Dr. Richard Hillas
a Professor and Head of the Computing and Mathematics Department, Dr. Ashiq Anjum as a Professor of Distributed Computing, Dr. Shao Ying Zhu as
a Senior Lecturer in Computing, and Dr. Lu Liu as a Professor of Distributed Computing. The other publications of the editors include the Springer titles Guide to Security Assurance for Cloud Computing, Guide
to Cloud Computing and Cloud Computing for Enterprise Architectures.
Marcello Trovati serves as a Senior Lecturer in Mathematics, Dr. Richard Hillas
a Professor and Head of the Computing and Mathematics Department, Dr. Ashiq Anjum as a Professor of Distributed Computing, Dr. Shao Ying Zhu as
a Senior Lecturer in Computing, and Dr. Lu Liu as a Professor of Distributed Computing. The other publications of the editors include the Springer titles Guide to Security Assurance for Cloud Computing, Guide
to Cloud Computing and Cloud Computing for Enterprise Architectures.
Autoren-Porträt
The editors are all members of the Computing and Mathematics Department at the University of Derby, UK, where Dr. Marcello Trovati serves as a Senior Lecturer in Mathematics, Dr. Richard Hill as a Professor and Head of the Computing and Mathematics Department, Dr. Ashiq Anjum as a Professor of Distributed Computing, Dr. Shao Ying Zhu as a Senior Lecturer in Computing, and Dr. Lu Liu as a Professor of Distributed Computing. The other publications of the editors include the Springer titles Guide to Security Assurance for Cloud Computing, Guide to Cloud Computing and Cloud Computing for Enterprise Architectures.
Bibliographische Angaben
- 2016, 1st ed. 2015, 169 Seiten, Englisch
- Herausgegeben: Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319253131
- ISBN-13: 9783319253138
- Erscheinungsdatum: 12.01.2016
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 4.39 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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