Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing

Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing

Indexed In: SCOPUS
Release Date: January, 2021|Copyright: © 2021 |Pages: 350
DOI: 10.4018/978-1-7998-3111-2
ISBN13: 9781799831112|ISBN10: 1799831116|EISBN13: 9781799831136
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Description & Coverage
Description:

In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist.

Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Big Data Governance
  • Cloud-Based Analytics
  • Data Storage
  • Deep Learning
  • Edge Computing
  • Information Security
  • Intelligent Algorithms
  • Machine Learning
  • Problem Solving Techniques
  • Real-Time Challenges
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Editor/Author Biographies

Sathiyamoorthi Velayutham is currently working as an Associate Professor in Computer Science and Engineering Department at Sona College of Technology, Salem, Tamil Nadu, India. He was born on June 21, 1983, at Omalur in Salem District, Tamil Nadu, India. He received his Bachelor of Engineering degree in Information Technology from Periyar University, Salem with First Class. He obtained his Master of Engineering degree in Computer Science and Engineering from Anna University, Chennai with Distinction and secured 30th University Rank. He received his Ph.D degree from Anna University, Chennai in Web Mining. His areas of specialization include Web Usage Mining, Data Structures, Design and Analysis of Algorithm and Operating System. He has published many papers in International Journals and conferences. He has published many books and book chapters in various renowned international publishers. He has also participated in various National level Workshops and Seminars conducted by various reputed institutions.

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