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Cloud Computing for Geospatial Big Data Analytics

Intelligent Edge, Fog and Mist Computing

  • Book
  • © 2019

Overview

Editors:
  1. Himansu Das

    1. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, India

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  2. Rabindra K. Barik

    1. School of Computer Application, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, India

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  3. Harishchandra Dubey

    1. Center for Robust Speech Systems, University of Texas at Dallas, Richardson, USA

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  4. Diptendu Sinha Roy

    1. Department of Computer Science and Engineering, National Institute of Technology, Meghalaya, Shillong, India

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  • Covers the state-of-art of theories and applications in cloud computing in several diversified fields
  • Presents the latest research findings in cloud computing, geospatial data, and big data analytics to help identify future challenges
  • Focuses on the recent trends and challenges in employing cloud computing for geospatial big data analytics in intelligent edge, fog, and mist computing

Part of the book series: Studies in Big Data (SBD, volume 49)

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xii
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  2. Big Data Scientific Workflows in the Cloud: Challenges and Future Prospects

    • Samiya Khan, Syed Arshad Ali, Nabeela Hasan, Kashish Ara Shakil, Mansaf Alam
    Pages 1-28

  3. Trust Model Based Scheduling of Stochastic Workflows in Cloud and Fog Computing

    • J. Angela Jennifa Sujana, M. Geethanjali, R. Venitta Raj, T. Revathi
    Pages 29-54

  4. Trust-Based Access Control in Cloud Computing Using Machine Learning

    • Pabitr Mohan Khilar, Vijay Chaudhari, Rakesh Ranjan Swain
    Pages 55-79

  5. Cloud Security Ontology (CSO)

    • Vaishali Singh, S. K. Pandey
    Pages 81-109

  6. Cloud Based Supply Chain Networks—Principles and Practices

    • Anil B. Gowda, K. N. Subramanya
    Pages 111-136

  7. Parallel Computation of a MMDBM Algorithm on GPU Mining with Big Data

    • S. Sivakumar, S. Vidyanandini, Soumya Ranjan Nayak, S. Sundar
    Pages 137-153

  8. Data Analytics of IoT Enabled Smart Energy Meter in Smart Cities

    • Kiran Ahuja, Arun Khosla
    Pages 155-175

  9. A New and Secure Intrusion Detecting System for Detection of Anomalies Within the Big Data

    • Amara S. A. L. G. Gopal Gupta, G. Syam Prasad, Soumya Ranjan Nayak
    Pages 177-190

  10. Geospatial Big Data, Analytics and IoT: Challenges, Applications and Potential

    • Ramgopal Kashyap
    Pages 191-213

  11. Geocloud4GI: Cloud SDI Model for Geographical Indications Information Infrastructure Network

    • Rabindra Kumar Barik, Meenakshi Kandpal, Harishchandra Dubey, Vinay Kumar, Himansu Das
    Pages 215-224

  12. The Role of Geospatial Technology with IoT for Precision Agriculture

    • V. Bhanumathi, K. Kalaivanan
    Pages 225-250

  13. Design Thinking on Geo Spatial Climate for Thermal Conditioning: Application of Big Data Through Intelligent Technology

    • Divyajit Das, Ashoke Kumar Rath, Dillip Kumar Bera, Bhubaneswari Bisoyi
    Pages 251-263

  14. Hyperspectral Remote Sensing Images and Supervised Feature Extraction

    • Aloke Datta, Susmita Ghosh, Ashish Ghosh
    Pages 265-289
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Keywords

About this book

This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.

Editors and Affiliations

  • School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, India

    Himansu Das

  • School of Computer Application, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, India

    Rabindra K. Barik

  • Center for Robust Speech Systems, University of Texas at Dallas, Richardson, USA

    Harishchandra Dubey

  • Department of Computer Science and Engineering, National Institute of Technology, Meghalaya, Shillong, India

    Diptendu Sinha Roy

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