Advances in Distributed Computing and Machine Learning (eBook, PDF)

Proceedings of ICADCML 2022
Redaktion: Rout, Rashmi Ranjan; Li, Kuan-Ching; Sahoo, Jyoti Prakash; Tripathy, Asis Kumar; Jana, Prasanta K.; Ghosh, Soumya Kanti

• Format: PDF

Produktbeschreibung

This book includes a collection of peer-reviewed best selected research papers presented at the Third International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2022), organized by Department of Computer Science and Engineering, National Institute of Technology, Warangal, Telangana, India, during 15-16 January 2022. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 719
• Erscheinungstermin: 27. Juli 2022
• Englisch
• ISBN-13: 9789811910180
• Artikelnr.: 64561258

Autorenporträt

Rashmi Ranjan Rout is working as Associate Professor in the Department of CSE at NIT Warangal, Telangana, India. He received Ph. D. degree from IIT Kharagpur, West Bengal, India, and M. Tech. degree from MNNIT, Allahabad, Uttar Pradesh, India. He received many awards from reputed organizations, including IEEE senior member. He has published more than 35 papers in reputed journals and conferences, including IEEE Sensors Journal, IEEE Transactions on Computational Social Systems, IEEE Transactions on Wireless Communications, Computer Communications, Elsevier, Vehicular Communications, Elsevier, Applied Intelligence, Pervasive and Mobile Computing, Journal of Computer Networks and Communications, Computer and Electrical Engineering, Elsevier and IET Wireless Sensor Systems. He is Member of ACM, Life Member of ISTE and others. His current research interests include Internet of things, wireless ad-hoc and sensor networks, online social networks, cloud computing and mobile computing. He delivered many invited talks and chaired sessions in many national and international conferences. He acted as reviewers in many reputed journals of IEEE, Elsevier and Springer and many reputed conferences. He completed a project titled "Design and Development of a Multi-Modal Geo-Sensor Network for Ambulance and Noise Nuisance Monitoring in Urban India" of Rs. 33.06 Lakh from DST, New Delhi. Soumya Kanti Ghosh is currently Professor in the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (IIT Kharagpur), India. His primary areas of research include Geospatial Databases and Services, Cloud Computing and Security. Prior to IIT Kharagpur, he worked for Indian Space Research Organization in area of remote sensing and geographic information systems for natural resource management. He did his Ph.D. and M.Tech. in Computer Science, from Department of Computer Science & Engineering, IITKharagpur. He did his B.E. in Electronics and Communication Engineering from National Institute of Technology (formerly, Regional Engineering College), Durgapur, India. Prasanta K. Jana received the M.Tech. degree in computer science from the University of Calcutta, Kolkata, India, in 1988, and the Ph.D. degree from Jadavpur University, Kolkata, India, in 2000. He is currently Professor with the Department of Computer Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India. He has contributed 210+ research publications in his credit and coauthored five books and three book chapters. He has also supervised 15+ Ph.D. candidates. As a recognition of his outstanding research contributions, he has been awarded Senior Member of IEEE in 2009. He is also Recipient of Canara Bank Research Publication Award in the year 2015 and 2017. He is also among the world ranking of top 2% (all fields) Indian scientists in Artificial Intelligence surveyed by Stanford University, USA, published in November 2020. His current research interests include wireless sensor networks, cloud computing and machine learning. Asis Kumar Tripathy is Associate Professor in the School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India. He has more than ten years of teaching experience. He completed his Ph.D. from the National Institute of Technology, Rourkela, India, in 2016. His areas of research interests include wireless sensor networks, cloud computing, Internet of things and advanced network technologies. He has several publications in refereed journals, reputed conferences and book chapters to his credit. He has served as Program Committee Member in several conferences of repute. He has also been involved in many professional and editorial activities. He is Senior Member of IEEE and Member of ACM. Jyoti Prakash Sahoo is Senior Member, IEEE, and Experienced Assistant Professor with a demonstrated history of working in engineering education. Currently, he is working in the Department of Computer Science and Information Technology, Institute of Technical Education and Research, Siksha 'O' Anusandhan (Deemed to be University) for the last 10 years. Prior to joining Siksha 'O' Anusandhan, he also worked as Assistant Professor with CV Raman College of Engineering, Bhubaneswar (now C. V. Raman Global University). He is having more than 12 years of academic and research experience in computer science and engineering education. He has published several research papers in various international journals and conferences. He is also serving many journals and conferences as Editorial or Reviewer Board Member. He is having expertise in the field of cloud computing and machine learning. He served as Publicity Chair, Web Chair, Organizing Secretary and Organizing Member of technical program committees for many national and international conferences. Being a WIPRO Certified Faculty, he has also contributed to industry-academia collaboration, student enablement and pedagogical learning. Furthermore, he is associated with various educational and research societies like IET, IACSIT, IAENG, etc. Kuan-Ching Li is currently appointed as Distinguished Professor at Providence University, Taiwan. He is Recipient of awards and funding support from several agencies and high-tech companies, as also received distinguished chair professorships from universities in several countries. He has been actively involved in many major conferences and workshops in program/general/steering conference chairman positions and as Program committee member and has organized numerous conferences related to high-performance computing and computational science and engineering. Professor Li is Editor-in-Chief of technical publications Connection Science (Taylor & Francis), International Journal of Computational Science and Engineering (Inderscience) and International Journal of Embedded Systems (Inderscience) and serves as Associate Editor, Editorial Board Member and Guest Editor for several leading journals. Besides publication of journal and conference papers, he is Co-Author/Co-Editor of several technical professional books published by CRC Press, Springer, McGraw-Hill and IGI Global. His topics of interest include parallel and distributed computing, big data and emerging technologies. He is Member of the AAAS, Senior Member of the IEEE and Fellow of the IET.

Inhaltsangabe

Fog Computing Paradigm for Internet of Things: Architectures, Issues, Challenges and Applications.- Security and Challenges for Blockchain Integrated Fog Enabled IoT Applications.- MLP Deep Learning Based DDoS Attack Detection Framework for Fog Computing.- Active VM Placement Approach Based on Energy Efficiency in Cloud Environment.- Security Enhancement in Cloud Environment using Modified Key Based Crypto Method.- RFID-Based Authentication Scheme for Secure Access of Medical Data in IoT-Enabled Health Environments.- FML Framework: Function Triggered ML-as-a-Service for IoT Cloud Applications.- A New Approach for Processing Raster Geospatial Big Data in Distributed Environment.- An Efficient Service Selection Algorithm for Cloud Computing.- Transaction and QoS-Driven Composition of Web Services using Modified Grey Wolf Optimization with TOPSIS and AHP.