Techniques and Environments for Big Data Analysis

Parallel, Cloud, and Grid Computing

  • Bhabani Shankar Prasad Mishra
  • Satchidananda Dehuri
  • Euiwhan Kim
  • Gi-Name Wang

Part of the Studies in Big Data book series (SBD, volume 17)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Kiranjit Pattnaik, Bhabani Shankar Prasad Mishra
    Pages 1-20
  3. Bhabani Shankar Prasad Mishra, Santwana Sagnika
    Pages 21-30
  4. Chhabi Rani Panigrahi, Mayank Tiwary, Bibudhendu Pati, Himansu Das
    Pages 75-100
  5. Santwana Sagnika, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri
    Pages 101-111
  6. Ghosh Sanchita, Desarkar Anindita
    Pages 113-158
  7. Manoj Kumar Mishra, Yashwant Singh Patel
    Pages 181-191

About this book

Introduction

This volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chapters providing a concise introduction to Big Data Analysis and recent Techniques and Environments for Big Data Analysis. It gives insight into how the expensive fitness evaluation of evolutionary learning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.

Keywords

Big Data Big Data Analysis Evolutionary Algorithms Grid Computing Parallel Computing Parallel Computing Swarm Algorithms for Big Data Analysis

Editors and affiliations

  • Bhabani Shankar Prasad Mishra
    • 1
  • Satchidananda Dehuri
    • 2
  • Euiwhan Kim
    • 3
  • Gi-Name Wang
    • 4
  1. 1.School of ComputerKIIT UniversityBhubaneswarIndia
  2. 2.Fakir Mohan UniversityDepartment of Information and CommunicatOdishaIndia
  3. 3.Department of Systems EngineeringAjou UniversitySuwonKorea (Republic of)
  4. 4.Department of Industrial EngineerinAjou UniversitySuwonKorea (Republic of)

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-27520-8
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-27518-5
  • Online ISBN 978-3-319-27520-8
  • Series Print ISSN 2197-6503
  • Series Online ISSN 2197-6511
  • About this book
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