Overview
- Examines the unique nature and complexity of MMBD computing for IoT applications
- Includes of case studies to demonstrate the process model
- Discusses the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 163)
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Table of contents (18 chapters)
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Technological Developments
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Multimedia Big Data Analytics
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Societal Impact of Multimedia Big Data
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Application Environments
Keywords
About this book
Editors and Affiliations
About the editors
Dr. Sudhanshu Tyagi is an Assistant Professor in the Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Deemed University, India. Hereceived his Ph.D. in 2016 from the Faculty of Engineering and Technology, Mewar University, India, with a specialization in Wireless Sensor Networks; and a Master’s degree in Technology with honors in Electronics & Communication Engineering in 2005 from the National Institute of Technology, Kurukshetra, India. His research focuses on wireless sensor networks and body area sensor networks. He has co-authored two books:Big Data Analytics (ISBN: 978-93-83992-25-8), and Mobile Computing (ISBN: 978-93-83992-25-6). He is an associate editor of the Security and Privacy Journal, and is a member of the IEEE, IAENG, ISTE, and CSTA.
Dr. Neeraj Kumar is currently an Associate Professor in the Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Deemed University, India. He received his Ph.D. degree in Computer Science and Engineering from Shri Mata Vaishno Devi University, India, in 2009. He was then a Postdoctoral Research Fellow at Coventry University, U.K. His research focuses on distributed systems, security and cryptography and body area networks. He is on the editorial board of the Journal of Network and Computer Applications and the International Journal of Communication Systems. He has published more than 150 research papers in leading journals and conferences in the areas of communications, security and cryptography. He is also a member of the IEEE and IEEE ComSoc.
Bibliographic Information
Book Title: Multimedia Big Data Computing for IoT Applications
Book Subtitle: Concepts, Paradigms and Solutions
Editors: Sudeep Tanwar, Sudhanshu Tyagi, Neeraj Kumar
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-981-13-8759-3
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-13-8758-6Published: 26 July 2019
Softcover ISBN: 978-981-13-8761-6Published: 15 August 2020
eBook ISBN: 978-981-13-8759-3Published: 17 July 2019
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XIV, 477
Number of Illustrations: 70 b/w illustrations, 121 illustrations in colour
Topics: Computational Intelligence, Systems and Data Security, Big Data, Multimedia Information Systems, Information Systems Applications (incl. Internet)