Big Data, Cloud Computing and IoT Tools and Applications

Cloud computing, the Internet of Things (IoT), and big data are three significant technological trends affecting the world's largest corporations. This book discusses big data, cloud computing, and the IoT, with a focus on the benefits and implementation problems. In addition, it examines the many structures and applications pertinent to these disciplines. Also, big data, cloud computing, and the IoT are proposed as possible study avenues. Features: Informs about cloud computing, IoT and big data, including theoretical foundations and the most recent empirical findings Provides essential research on the relationship between various technologies and the aggregate influence they have on solving real-world problems Ideal for academicians, developers, researchers, computer scientists, practitioners, information technology professionals, students, scholars, and engineers exploring research on the incorporation of technological innovations to address contemporary societal challenges

Integration of IoT, Big Data and Cloud Computing Technologies: Trend of the Era Sita Rani, Pankaj Bhambri and Aman Kataria Cloud Environment Limitations and Challenges Sudheer Mangalampalli and Ganesh Reddy Karri A Guide to Cloud Platform with an Investigationof Different Cloud Service Providers Parul Dubey, Pushkar Dubey, and Kailash Kumar Sahu A Study on the Accuracy of IoT-Sensed Data Using Machine Learning K. P. Maheswari, N. Anuradha and S. Nirmala Devi Cloud-Based Remote Sensing: Developments and Challenges–Research Point of View G.Boopathi Raja Recent Trends in Machine Learning Techniques, Challenges and Opportunities S.Kannadhasanm, Kanagaraj Venusamy and R.Nagarajan Heart Disease Prediction Using Machine Learning and Big Data Vandana Rawat, Devesh Pratap Singh, Neelam Singh, and Shruti Negi Analysis of Credit Card Fraud Data Using Various Machine Learning Methods C. Chethanaand Piyush Kumar Pareek Cloud Security Risk Management Quantifications Gurwinder Singh, Munish Rattan and Gurjot Kaur Walia Relevance of Multifactor Authentication for Secure Cloud Access Charanjeet Singh and Ramandeep Kaur LBMMS: Load Balancing with Max-Min of Summation in Cloud Computing Ranjan Kumar Mondal, Payel Ray, Enakshmi Nandi, and Debabrata Sarddar Convergence Time Aware Network Comprehensive Switch Migration Algorithm Using Machine Learning for SDN Cloud Datacenter S.R. Deepu, B.S. Shylaja andR. Bhaskar IoT Network Used in Fog and Cloud Computing Bhavesh Borisaniya and Saurabh Kumar Smart Waste Management System Using Convolutional Neural Network Model Neelam Sharma, Surbhi Gupta, Shefali Kanwar, and Vanieka An IoT-Based Emotion Analysis and Music Therapy Keerthik Dhivya Rajakumar, Jagannath Mohan and Adalarasu Kanagasabai Complete Low-Cost IoT Framework for the Indian Agriculture Sector Ashish Verma and Rajesh Bodade

Dr. Sita Rani is working as an Assistant Professor in the Department of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana. Earlier, she has served as Deputy Dean (Research) at Gulzar Group of Institutions, Khanna (Punjab). She has completed her B.Tech and M.Tech degrees in the faculty of Computer Science and Engineering from Guru Nanak Dev Engineering College, Ludhiana. She earned her Ph.D. in Computer Science and Engineering from I.K.Gujral Punjab Technical University, Kapurthala, Punjab in the year 2018. She has more than 19 years of teaching experience. She is an active member of ISTE, IEEE and IAEngg. She is the receiver of ISTE Section Best Teacher Award- 2020, and International Young Scientist Award-2021. She has contributed to the various research activities while publishing articles in the renowned journals and conference proceedings.She has published three international patents also. She has delivered many expert talks in A.I.C.T.E. sponsored Faculty Development Programs and organized many International Conferences during her 19 years of teaching experience. She is the member of Editorial Board of many international journals of repute. Her research interest includes Parallel and Distributed Computing, Machine Learning, and Internet of Things (IoT). Dr. Pankaj Bhambri is working in the Department of Information Technology at Ludhiana’s Guru Nanak Dev Engineering College. He also serves as the Institute’s Coordinator, Skill Enhancement Cell. He has almost 18 years of experience as a teacher. He earned an M.Tech. (CSE) and a B.E. (IT) with honors from the I.K.G. Punjab Technical University, Jalandhar, India, and the Dr. B.R. Ambedkar University, Agra, India, respectively. Dr. Bhambri earned a doctorate in computer science and engineering from the I.K.G. Punjab Technical University, Jalandhar, India. For a long span, he served/ serving the additional duties of an Assistant Registrar (Academic), Member (Academic Council), Member (BoS), Member (RAC), Hostel Warden, APIO, and NSS Coordinator for his institute. His research has appeared in a variety of prestigious international/national journals and conference proceedings. Dr. Bhambri has contributed numerous textbooks as an editor/ author and also filed several patents. As a result of his outstanding social and academic/research accomplishments over the past two decades, Dr. Bhambri has been awarded the ISTE Best Teacher Award - 2022, I2OR National Award – 2020, Green ThinkerZ Top 100 International Distinguished Educators – 2020, I2OR Outstanding Educator Award – 2019, SAA Distinguished Alumni Award – 2012, CIPS Rashtriya Rattan Award - 2008, LCHC Best Teacher Award - 2007, and countless other accolades from various government and non-profit organizations. He has supervised many undergraduate/postgraduate research projects/dissertations and is now supervising multiple Ph.D. research work as well. He organized numerous courses while receiving funding from the AICTE, TEQIP, and others. Machine Learning, Bioinformatics, Wireless Sensor Networks, and Network Security are his areas of interest. He is an educator, editor, author, reviewer, expert speaker, motivator, and member of the technical committees of significant national and international organizations. Dr. Aman Kataria completed his B.Tech in Electronics and Communication Engineering from Malout Institute of Management and Information Technology (MIMIT), Malout in the year 2010. He did his Masters in Electronics and Instrumentation Control Engineering and Doctoral degree in the years 2013 and 2020 respectively from Thapar Institute of Engineering and Technology, Patiala. Currently, he is working in CSIR-Central Scientific Instruments Organization as a Project Associate. He has also served as Lecturer at National Institute of Technology, Hamirpur in the Electronics and Communication Department. He has contributed to the various research activities while publishing papers in the various SCIE and Scopus Indexed journals and conference proceedings. He has published three international patents also. His research interest includes are Machine Learning, Artificial Intelligence, Image Processing, Cyber Physical Systems, Internet of Things and Soft Computing. Prof. Dr. Alex KhangPH Professor in Information Technology, D.Sc., Universities of Science and Technology in Vietnam and United States, Software Industry Expert, AI and Data Scientist, Workforce Development Solutions Consultant, and Chief of Technology (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, North Carolina, United States, ORCID: 0000-0001-8379-4659. He has 28+ years of non-stop teaching and research experience in Information Technology (Software Development, Database Technology, AI Engineering, Data Engineering, Data Science, Data Analytics, IoT-based Technologies, and Cloud Computing) at the Universities of Technology and Science in Vietnam, EU, India, and United S