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  • Conference proceedings
  • © 2022

Advances in Distributed Computing and Machine Learning

Proceedings of ICADCML 2022

  • Presents research works in the field of distributed computing and machine learning

  • Shows results of ICADCML 2022 held at National Institute of Technology, Warangal, Telangana, India

  • Serves as a reference for researchers and practitioners in academia and industry

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 427)

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eBook USD 189.00
Price excludes VAT (USA)
  • ISBN: 978-981-19-1018-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
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  • Tax calculation will be finalised during checkout
Softcover Book USD 249.99
Price excludes VAT (USA)

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Table of contents (61 papers)

  1. Front Matter

    Pages i-xxx
  2. Security and Challenges for Blockchain Integrated Fog-Enabled IoT Applications

    • Saikat Samanta, Achyuth Sarkar, Aditi Sharma, Oana Geman
    Pages 13-24
  3. MLP Deep Learning-based DDoS Attack Detection Framework for Fog Computing

    • Surya Pavan Kumar Gudla, Sourav Kumar Bhoi
    Pages 25-34
  4. Active VM Placement Approach Based on Energy Efficiency in Cloud Environment

    • Sunil Kumar, Sumit Mittal, Manpreet Singh
    Pages 35-46
  5. Security Enhancement in Cloud Environment Using Modified Key-based Crypto Method

    • Parsi Kalpana, A. Venugopal Reddy, Sudha Pelluri
    Pages 47-57
  6. RFID-Based Authentication Scheme for Secure Access of Medical Data in IoT-Enabled Health Environments

    • Preeti Soni, Mohammad S. Obaidat, Arup Kumar Pal, SK Hafizul Islam
    Pages 59-69
  7. FML Framework: Function-Triggered ML-as-a-Service for IoT Cloud Applications

    • Shajulin Benedict, Rachit Verma, M. Bhagyalakshmi
    Pages 71-81
  8. A New Approach for Processing Raster Geospatial Big Data in Distributed Environment

    • Anupama, Jai Prakash Verma, Sapan H. Mankad, Sanjay Garg, Pankaj Bodani, Ghansham Sangar
    Pages 83-93
  9. An Efficient Service Selection Algorithm for Cloud Computing

    • Munmun Saha, Sanjaya Kumar Panda, Suvasini Panigrahi
    Pages 95-107
  10. Wireless Sensor Network Based Miner Localization in Underground Coal Mines

    • Lalatendu Muduli, Prasanta K. Jana, Devi Prasad Mishra
    Pages 121-131
  11. Bacterial Forging Optimization-Based Clustering Protocol for Wireless Sensor Networks

    • Sidhartha Sankar Dora, Prasanta Kumar Swain
    Pages 133-142
  12. Deer Hunting Optimization-Enabled Multi-objective Range-Free Anchor-Based Localization in WSN

    • V. CH. Sekhar Rao Rayavarapu, Arunanshu Mahapatro
    Pages 143-153
  13. A Fuzzy Logic-Based Trust Management Scheme for Wireless Sensor Network

    • Madhusmita Patra, Sasmita Acharya
    Pages 155-166
  14. Reinforcement Learning Based Routing in Software Defined Network

    • Meenaxi M. Raikar, S. M. Meena
    Pages 179-191
  15. Load Balancing for Network Resource Management in Software-Defined Networks

    • P. M. Abhishek, Anishma Naik, Pooja Doddannavar, Rachana Patil, Meenaxi M. Raikar, S. M. Meena
    Pages 193-203
  16. A Survey on Layer 2 Solutions to Achieve Scalability in Blockchain

    • K. N. Unnikrishnan, P. Victer Paul
    Pages 205-216
  17. Swift and Secure Medical Data Transaction

    • T. Sujithra, N. M. Masoodhu Banu, N. Poornima, S. Durai
    Pages 217-227

About this book

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.

Keywords

  • Distributed Systems
  • Distributed Computing
  • Cloud Computing
  • Internet of Things
  • Blockchain
  • Machine Learning
  • Deep Learning
  • Recommender Systems
  • ICADCML 2022 Proceedings

Editors and Affiliations

  • Department of Computer Science and Engineering, National Institute of Technology, Warangal, India

    Rashmi Ranjan Rout

  • Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India

    Soumya Kanti Ghosh

  • Department of Computer Science and Engineering, Indian Institute of Technology (ISM) Dhanbad, Dhanbad, India

    Prasanta K. Jana

  • School of IT and Engineering (SITE), Vellore Institute of Technology, Vellore, India

    Asis Kumar Tripathy

  • Department of Computer Science and Information Technology, Institute of Technical Education and Research (ITER), Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, India

    Jyoti Prakash Sahoo

  • Department of Computer Science and Information Engineering (CSIE), Providence University, Taichung, Taiwan

    Kuan-Ching Li

About the editors

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, IIT Kharagpur. 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.

Bibliographic Information

  • Book Title: Advances in Distributed Computing and Machine Learning

  • Book Subtitle: Proceedings of ICADCML 2022

  • Editors: Rashmi Ranjan Rout, Soumya Kanti Ghosh, Prasanta K. Jana, Asis Kumar Tripathy, Jyoti Prakash Sahoo, Kuan-Ching Li

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-981-19-1018-0

  • Publisher: Springer Singapore

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022

  • Softcover ISBN: 978-981-19-1017-3

  • eBook ISBN: 978-981-19-1018-0

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XXX, 719

  • Number of Illustrations: 45 b/w illustrations, 252 illustrations in colour

  • Topics: Computational Intelligence, Machine Learning, Artificial Intelligence

Buying options

eBook USD 189.00
Price excludes VAT (USA)
  • ISBN: 978-981-19-1018-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 249.99
Price excludes VAT (USA)