Big-Data Analytics and Cloud Computing

Theory, Algorithms and Applications

  • Marcello Trovati
  • Richard Hill
  • Ashiq Anjum
  • Shao Ying Zhu
  • Lu Liu

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Theory

    1. Front Matter
      Pages 1-1
    2. Dimas C. Nascimento, Carlos Eduardo Pires, Demetrio Mestre
      Pages 3-20
  3. Applications

    1. Front Matter
      Pages 65-65
    2. Faizan Javed, Ferosh Jacob
      Pages 83-96
    3. Aaron Johnson, Paul Holmes, Lewis Craske, Marcello Trovati, Nik Bessis, Peter Larcombe
      Pages 111-125
    4. Dominic Davies-Tagg, Ashiq Anjum, Richard Hill
      Pages 147-165
  4. Back Matter
    Pages 167-169

About this book


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

This authoritative volume will be of great interest to researchers, enterprise architects, business analysts, IT infrastructure managers and application developers, who will benefit from the valuable insights offered into the adoption of architectures for big data and cloud computing. The work is also suitable as a textbook for university instructors, with the outline for a possible course structure suggested in the preface. 

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 ComputingGuide to Cloud Computing and Cloud Computing for Enterprise Architectures.


Analytics Big Data Cloud Computing Distributed Systems Simulation and Modeling

Editors and affiliations

  1. 1.University of DerbyDerbyUnited Kingdom
  2. 2.University of DerbyDerbyUnited Kingdom
  3. 3.University of DerbyDerbyUnited Kingdom
  4. 4.University of DerbyDerbyUnited Kingdom
  5. 5.University of DerbyDerbyUnited Kingdom

Bibliographic information