Big Data and Internet of Things: A Roadmap for Smart Environments

  • Nik Bessis
  • Ciprian Dobre

Part of the Studies in Computational Intelligence book series (SCI, volume 546)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Foundations and Principles

    1. Front Matter
      Pages 1-1
    2. Radu-Ioan Ciobanu, Valentin Cristea, Ciprian Dobre, Florin Pop
      Pages 3-34
    3. Kevin Chiew, Yingjiu Li, Congfu Xu
      Pages 91-110
    4. Dhiya AI-Jumeily, Mohamad Al-Zawi, Abir Jaafar Hussain, Ciprian Dobre
      Pages 111-136
    5. Flavio Bonomi, Rodolfo Milito, Preethi Natarajan, Jiang Zhu
      Pages 169-186
  3. Advanced Models and Architectures

    1. Front Matter
      Pages 187-187
    2. Trinh Hoang Nguyen, Vimala Nunavath, Andreas Prinz
      Pages 189-214
    3. Charith Perera, Prem Prakash Jayaraman, Arkady Zaslavsky, Peter Christen, Dimitrios Georgakopoulos
      Pages 215-241
    4. Ahmad Karawash, Hamid Mcheick, Mohamed Dbouk
      Pages 243-257
    5. Gérôme Bovet, Antonio Ridi, Jean Hennebert
      Pages 259-283
    6. Jose Maria León-Coca, Daniel G. Reina, Sergio L. Toral, Federico Barrero, Nik Bessis
      Pages 285-313
  4. Advanced Applications and Future Trends

    1. Front Matter
      Pages 341-341
    2. Hong-Linh Truong, Schahram Dustdar
      Pages 343-365
    3. Kevin Curran, Niamh Curran
      Pages 367-378
    4. David N. Crowley, Edward Curry, John G. Breslin
      Pages 379-399

About this book

Introduction

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. The book contains 19 self-contained chapters that were very carefully selected based on peer review by at least two expert and independent reviewers and is organized into the three sections reflecting the general themes of interest to the IoT and Big Data communities:

Section I: Foundations and Principles

Section II: Advanced Models and Architectures

Section III: Advanced Applications and Future Trends

The book is intended for researchers interested in joining interdisciplinary and transdisciplinary works in the areas of Smart Environments, Internet of Things and various computational technologies for the purpose of an integrated collective computational intelligence approach into the Big Data era.

 

Keywords

Big Data Computational Intelligence Intelligent Computation Internet of Things

Editors and affiliations

  • Nik Bessis
    • 1
  • Ciprian Dobre
    • 2
  1. 1.School of Computer Science and MathematicsUniversity of DerbyDerbyUnited Kingdom
  2. 2.Department of Computer ScienceUniversity Politehnica of BucharestBucharestRomania

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-05029-4
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-05028-7
  • Online ISBN 978-3-319-05029-4
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book