Big Data Analysis for Green Computing

Concepts and Applications
1. Auflage 2021
ISBN: 978-0-367-44230-9
Verlag: CRC Press

Buch, Englisch, 186 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 452 g

Reihe: Green Engineering and Technology

This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics.

Big Data Analysis for Green Computing: Concepts and Applications presents the latest technologies and covers the major challenges, issues, and advances of big data and data analytics in green computing. It explores basic as well as high-level concepts. It also includes the use of machine learning using big data and discusses advanced system implementation for smart cities.

The book is intended for business and management educators, management researchers, doctoral scholars, university professors, policymakers, and higher academic research organizations.

Zielgruppe

Academic, Professional, and Undergraduate Advanced

Autoren/Hrsg.

Sharma, Rohit

Sharma, Dilip Kumar

Bhatt, Dhowmya

Pham, Binh Thai

Fachgebiete

• Geowissenschaften Umweltwissenschaften Umwelttechnik
• Technische Wissenschaften Technik Allgemein Industrial Engineering
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik

Inhaltsverzeichnis

Chapter 1 Multi-Criteria and Fuzzy-Based Decision Making: Applications in Environment Pollution Control for Sustainable Development Chapter 2 Security and Privacy Requirements for IoMT-Based Smart Healthcare System: Challenges, Solutions, and Future Scope Chapter 3 The Rise of “Big Data” on Cloud Computing Chapter 4 Effect of the Measurement on Big Data Analytics: An Evolutive Perspective with Business Intelligence Chapter 5 Performance Analysis for Provisioning and Energy Efficiency Distributed in Cloud Computing Chapter 6 Using Internet of Things (IoT) for Smart Home Automation and Metering System Chapter 7 Big Data Analysis and Machine Learning for Green Computing: Concepts and Applications Chapter 8 Fundamental Concepts and Applications of Blockchain Technology Chapter 9 Mental Disorder Detection Using Machine Learning Chapter 10 Blockchain Technology for Industry 4.0 Applications: Issues, Challenges and Future Research Directions

Über Autor(innen)

Rohit Sharma is currently an Assistant Professor in the Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Delhi NCR Campus Ghaziabad, India. He is an active member of ISTE, IEEE, ICS, IAENG, and IACSIT. He is an editorial board member and reviewer of more than 12 international journals and conferences, including the topmost journal IEEE Access and IEEE Internet of Things Journal. He serves as a Book Editor for 7 different titles to be published by CRC Press, Taylor & Francis Group, USA and Apple Academic Press, CRC Press, Taylor & Francis Group, USA, Springer, etc. He has received the Young Researcher Award in "2nd Global Outreach Research and Education Summit & Awards 2019" hosted by Global Outreach Research & Education Association (GOREA). He is serving as Guest Editor in SCI journal of Elsevier, CEE and Springer WPC. He has actively been an organizing end of various reputed International conferences. He is serving as an Editor and Organizing Chair to 3rd Springer International Conference on Microelectronics and Telecommunication (2019), and have served as the Editor and Organizing Chair to 2nd IEEE International Conference on Microelectronics and Telecommunication (2018), Editor and Organizing Chair to IEEE International Conference on Microelectronics and Telecommunication (ICMETE-2016) held in India, Technical Committee member in "CSMA2017, Wuhan, Hubei, China", "EEWC 2017, Tianjin, China" IWMSE2017 "Guangzhou, Guangdong, China", "ICG2016, Guangzhou, Guangdong, China" "ICCEIS2016 Dalian Liaoning Province, China".

Dilip Kumar Sharma is B.E.(CSE), M.Tech. (CSE) and Ph.D in Computer Engineering. He is Senior Member of (IEEE, USA, ACM, USA, CSI India) and Fellow of (IETE and IE(India)). He has delivered/chaired more than 75 invited talks/guest lectures and chaired the technical sessions at various institutes/conferences. He has attended 32 short term courses/workshops/seminars organized by various esteemed originations and edited three books and worked as Guest Editor of International Journals of repute. He has organized more than 12 IEEE/CSI International/National Conferences and Workshops with the capacity of General Chair, Co-General Chair, Convener and co-convener etc. He has published more than 120 research papers in International Journals /Conferences of repute indexed in SCI, Scopus and DBLP databases and participated in 50 International/National conferences. He has guided 3 PhD thesis. He is Conferred Significant Contribution Award by Computer Society of India in 2012, 2013, 2014 &2017. He is presently working as Associate Dean (Academic Collaboration) GLA University and Professor in Dept of Computer Engineering & Applications, GLA University Mathura India.

Dhowmya Bhatt is currently working as an Associate Professor in the department of Information Technology, SRM IST, Delhi NCR Campus Ghaziabad, India. Her research focus for doctoral degree is Network Security. Dr Dhowmya has published many research papers in International Journals of repute. In 2012, she had organised National Conference on Recent Development in Computational and Information Technology NCRDCIT’12, which was funded by DRDO. She has been the secretary of International Conference on Recent Development in Computational and Information Technology, ICRDCIT in 2014. She has organized many workshops, seminars and expert lectures in association with TCS, DRDO and Cisco. She has been the Convener of many Technical and cultural programme a SRM IST Delhi NCR campus. She has served as a session chair in conferences. Dr. Dhowmya is in the advisory committee of ICFCCT 19.

Binh Thai Pham is a senior researcher, lecturer, Head of Department of Geotechnical Engineering at University of Transport Technology, Hanoi, Vietnam. He received PhD degree in Civil Engineering from the Gujarat Technological University, Gujarat, India. His research focus on geotechnical engineering problems, machine learning, artificial intelligence, natural hazard modelling and assessment, geographic information system, remote sensing, and construction materials. Dr Binh Thai Pham has published about 80 scientific publications mainly on peer-reviewed international journals indexed SCI, SCIE, and SCOPUS. He is also a scientific reviewer of more than 30 ISI journals.