Cloud Computing for Geospatial Big Data Analytics: Intelligent Edge, Fog and Mist Computing

✍ Scribed by Himansu Das, Rabindra K. Barik, Harishchandra Dubey, Diptendu Sinha Roy

Publisher: Springer International Publishing
Year: 2019
Tongue: English
Leaves: 294
Series: Studies in Big Data 49
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xii
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
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
Trust-Based Access Control in Cloud Computing Using Machine Learning (Pabitr Mohan Khilar, Vijay Chaudhari, Rakesh Ranjan Swain)....Pages 55-79
Cloud Security Ontology (CSO) (Vaishali Singh, S. K. Pandey)....Pages 81-109
Cloud Based Supply Chain Networks—Principles and Practices (Anil B. Gowda, K. N. Subramanya)....Pages 111-136
Parallel Computation of a MMDBM Algorithm on GPU Mining with Big Data (S. Sivakumar, S. Vidyanandini, Soumya Ranjan Nayak, S. Sundar)....Pages 137-153
Data Analytics of IoT Enabled Smart Energy Meter in Smart Cities (Kiran Ahuja, Arun Khosla)....Pages 155-175
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
Geospatial Big Data, Analytics and IoT: Challenges, Applications and Potential (Ramgopal Kashyap)....Pages 191-213
Geocloud4GI: Cloud SDI Model for Geographical Indications Information Infrastructure Network (Rabindra Kumar Barik, Meenakshi Kandpal, Harishchandra Dubey, Vinay Kumar, Himansu Das)....Pages 215-224
The Role of Geospatial Technology with IoT for Precision Agriculture (V. Bhanumathi, K. Kalaivanan)....Pages 225-250
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
Hyperspectral Remote Sensing Images and Supervised Feature Extraction (Aloke Datta, Susmita Ghosh, Ashish Ghosh)....Pages 265-289

✦ Subjects

Engineering; Computational Intelligence; Geographical Information Systems/Cartography; Big Data

📜 SIMILAR VOLUMES

Big Data Analytics and Computational Int

📁 Big Data Analytics and Computational Intelligence for Cybersecurity

✍ Mariya Ouaissa, Zakaria Boulouard, Mariyam Ouaissa, Inam Ullah Khan, Mohammed Ka 📂 Library 📅 2022 🏛 Springer 🌐 English

This book presents a collection of state-of-the-art artificial intelligence and big data analytics approaches to cybersecurity intelligence. It illustrates the latest trends in AI/ML-based strategic defense mechanisms against malware, vulnerabilities, cyber threats, as well as proactive cou

Big-Data Analytics for Cloud, IoT and Co

📁 Big-Data Analytics for Cloud, IoT and Cognitive Computing

✍ Kai Hwang, Min Chen 📂 Library 📅 2017 🏛 Wiley 🌐 English

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sens

Strategic Engineering for Cloud Computin

📁 Strategic Engineering for Cloud Computing and Big Data Analytics

✍ Amin Hosseinian-Far, Muthu Ramachandran, Dilshad Sarwar (eds.) 📂 Library 📅 2017 🏛 Springer International Publishing 🌐 English

This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact

Artificial Intelligence for Cloud and Ed

📁 Artificial Intelligence for Cloud and Edge Computing

✍ Sanjay Misra, Amit Kumar Tyagi, Vincenzo Piuri, Lalit Garg 📂 Library 📅 2022 🏛 Springer 🌐 English

This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and

Intelligent Network Design Driven by Big

📁 Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing (Computing and Networks)

✍ Sunil Kumar (editor), Glenford Mapp (editor), Korhan Cengiz (editor) 📂 Library 📅 2022 🏛 The Institution of Engineering and Technology 🌐 English

As enterprise access networks evolve with a larger number of mobile users, a wide range of devices and new cloud-based applications, managing user performance on an end-to-end basis has become rather challenging. Recent advances in big data network analytics combined with AI and cloud compu

Computational Intelligence for big data

📁 Computational Intelligence for big data analysis: frontier advances and applications

✍ Acharjya, D P(Editor);Dehuri, Satchidananda(Editor);Sanyal, Sugata(Editor) 📂 Library 📅 2015 🏛 Springer International Publishing 🌐 English

The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The