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© 2020

Multimedia Big Data Computing for IoT Applications

Concepts, Paradigms and Solutions

  • Sudeep Tanwar
  • Sudhanshu Tyagi
  • Neeraj Kumar
Textbook

Part of the Intelligent Systems Reference Library book series (ISRL, volume 163)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Technological Developments

    1. Front Matter
      Pages 1-1
    2. Sharmila, Dhananjay Kumar, Pramod Kumar, Alaknanda Ashok
      Pages 3-36
    3. Mario José Diván, María Laura Sánchez Reynoso
      Pages 59-100
    4. Srinidhi Hiriyannaiah, B. S. Akanksh, A. S. Koushik, G. M. Siddesh, K. G. Srinivasa
      Pages 101-129
  3. Multimedia Big Data Analytics

    1. Front Matter
      Pages 161-161
    2. Rohit Rastogi, D. K. Chaturvedi, Santosh Satya, Navneet Arora, Piyush Trivedi, Akshay Kr. Singh et al.
      Pages 185-215
    3. Yosef Hasan Jbara
      Pages 217-245
    4. Manish Devgan, Deepak Kumar Sharma
      Pages 247-267
    5. Kuntesh Jani, Rajeev Srivastava
      Pages 269-285
  4. Societal Impact of Multimedia Big Data

    1. Front Matter
      Pages 287-287
    2. Akshi Kumar, Saurabh Raj Sangwan, Anand Nayyar
      Pages 289-321
    3. Krishna Kumar Mohbey, Sunil Kumar, Vartika Koolwal
      Pages 323-341
    4. Manish Devgan, Deepak Kumar Sharma
      Pages 343-366
    5. Prateek Pandey, Ratnesh Litoriya
      Pages 367-388
  5. Application Environments

    1. Front Matter
      Pages 389-389

About this book

Introduction

This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements, presenting case studies to demonstrate its application. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD. Written by leading experts, it also includes numerous solved examples, technical descriptions, scenarios, procedures, and algorithms.

Keywords

Multimedia tools & applications Multimedia data mining and analytics Data warehousing Multimedia enabled sensors in IoT Interactive multimedia documents Big data analytics Cloud computing Cognitive computing Hadoop

Editors and affiliations

  • Sudeep Tanwar
    • 1
  • Sudhanshu Tyagi
    • 2
  • Neeraj Kumar
    • 3
  1. 1.Department of Computer Science and EngineeringInstitute of Technology, Nirma UniversityAhmedabadIndia
  2. 2.Department of Electronics and Communication EngineeringThapar Institute of Engineering and Technology, Deemed UniversityPatialaIndia
  3. 3.Department of Computer Science and EngineeringThapar Institute of Engineering and Technology, Deemed UniversityPatialaIndia

About the editors

Sudeep Tanwar is an Associate Professor in the Computer Engineering Department at the Institute of Technology of Nirma University, Ahmedabad, India. He received his Ph.D. in 2016 from the Faculty of Engineering and Technology, Mewar University, India, with a specialization in Wireless Sensor Networks. His current interests include routing issues in WSN, integration of sensors in the cloud, computational aspects of smart grids, and assessment of fog computing in BASN. He has authored three books: Routing in Heterogeneous Wireless Sensor Networks (ISBN: 978-3-330-02892-0), 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 IAENG, ISTE, and CSTA.
 
Dr. Sudhanshu Tyagi is an Assistant Professor in the Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Deemed University, India. He received 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