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© 2021

Advances in Distributed Computing and Machine Learning

Proceedings of ICADCML 2020

  • Asis Kumar Tripathy
  • Mahasweta Sarkar
  • Jyoti Prakash Sahoo
  • Kuan-Ching Li
  • Suchismita Chinara

Benefits

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

  • Includes the outcomes of ICADCML 2020, held at the School of Information Technology and Engineering, VIT, Vellore, India

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

Conference proceedings

Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 127)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Distributed Computing Trends, Issues, and Applications

    1. Front Matter
      Pages 1-1
    2. Alekha Kumar Mishra, Asis Kumar Tripathy, Maitreyee Sinha
      Pages 3-13
    3. Venkata Abhishek Kanthuru, Kakelli Anil Kumar
      Pages 25-34
    4. Satyabrata Swain, Jyoti Prakash Sahoo, Asis Kumar Tripathy
      Pages 35-43
    5. Sanjib Kumar Nayak, Sanjaya Kumar Panda, Satyabrata Das
      Pages 45-56
    6. Madhu Bala Myneni, Siva Abhishek Sirivella
      Pages 57-65
    7. Bhabendu Kumar Mohanta, Utkalika Satapathy, Debasish Jena
      Pages 67-74
    8. Balaji Yedle, Gunjan Shrivastava, Arun Kumar, Alekha Kumar Mishra, Tapas Kumar Mishra
      Pages 75-86
    9. Marzan Tasnim Oyshi, Moushumi Zaman Bonny, Syed Ahmed Zaki, Susmita Saha
      Pages 99-106
    10. U. Nanda, A. Biswas, K. L. G. Prathyusha, S. Gaurav, V. S. L. Samhita, S. S. Mane et al.
      Pages 107-112
    11. Marzan Tasnim Oyshi, Moushumi Zaman Bonny, Susmita Saha, Zerin Nasrin Tumpa
      Pages 113-121
    12. Kiran Kumar Kondru, R. Saranya, Annamma Chacko
      Pages 123-133
    13. Mohammed Khaled Mustafa, Sajjad Waheed
      Pages 135-145
    14. Vedant Singh, Vrinda Yadav
      Pages 147-154
    15. R. Archana Devi, D. Hari Siva Rami Reddy, T. Akshay Kumar, P. Sriraj, P. Sankar, N. Harini
      Pages 155-163
    16. R. Archana Devi, C. Amritha, K. Sai Gokul, N. Ramanuja, L. Yaswant
      Pages 165-172
    17. M. R. Neethu, N. Harini, K. Abirami
      Pages 173-180

About these proceedings

Introduction

This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. It features selected high-quality research papers from the First International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the School of Information Technology and Engineering, VIT, Vellore, India, and held on 30–31 January 2020.

Keywords

Distributed Computing Cloud Computing IoT Blockchain Machine Learning

Editors and affiliations

  1. 1.Vellore Institute of TechnologyVelloreIndia
  2. 2.San Diego State UniversitySan DiegoUSA
  3. 3.Institute of Technical Education and Research (ITER)Siksha ‘O’ Anusandhan (SOA) Deemed to be UniversityBhubaneswarIndia
  4. 4.Providence UniversityTaichungTaiwan
  5. 5.National Institute of Technology, RourkelaRourkelaIndia

About the editors

Asis Kumar Tripathy is an 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 a program committee member in several conferences of repute. He has also been involved in many professional and editorial activities.

Mahasweta Sarkar is currently working as a Professor of the Department of Electrical and Computer Engineering in San Diego State University in 2006. Her M.S. and Ph.D. degrees were completed at the University of California, San Diego (UCSD), in 2003 and 2005, respectively. She received her B.S. degree in Computer Science & Engineering (Summa Cum Laude) in May 2000 from San Diego State University. Dr. Sarkar is a recipient of the “President's Leadership Award for Faculty Excellence” for the year 2010. She delivered invited lectures and keynotes in different universities spread all over the globe. The talks were on Wireless Body Area Networks and Brain–Computer Interface. Her research interest lies in the area of MAC layer power management algorithms and Quality-of-Service issues and protocols in WLANs, WMANs, WBANs, sensor networks and wireless ad hoc networks. She has published over eighty research papers in these fields in various international journals and conferences of high repute. 

Jyoti Prakash Sahoo is working as an Assistant Professor in the Institute of Technical Education and Research (ITER), Siksha ‘O’ Anusandhan (SOA) Deemed to be University, Bhubaneswar, India. 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 an editorial or reviewer board member. He is having expertise in the field of Cloud computing and Machine learning. He served as publicity chair and organizing member of technical program committees of 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 IEEE, IET, IACSIT, IAENG, etc.

Kuan-Ching Li is currently appointed as Distinguished Professor at Providence University, Taiwan. He is a 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 a program committee member, and has organized numerous conferences related to high-performance computing and computational science and engineering. Professor Li is the 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 the 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 a Member of the AAAS, a Senior Member of the IEEE, and a Fellow of the IET. 

Suchismita Chinara is currently working as an Assistant Professor in the Department of Computer Science and Engineering, National Institute of Technology, India. She has received her M.E. degree in 2001 and Ph.D. in 2011 from the Department of Computer Science and Engineering, National Institute of Technology, Rourkela. She has authored and co-authored multiple peer-reviewed scientific papers and presented works at many national and international conferences. Her contributions have acclaimed recognition from honorable subject experts around the world. Her academic career is decorated with several reputed awards and funding. Her research interest includes wireless network, ad hoc network and MANET.

 

Bibliographic information

  • Book Title Advances in Distributed Computing and Machine Learning
  • Book Subtitle Proceedings of ICADCML 2020
  • Editors Asis Kumar Tripathy
    Mahasweta Sarkar
    Jyoti Prakash Sahoo
    Kuan-Ching Li
    Suchismita Chinara
  • Series Title Lecture Notes in Networks and Systems
  • Series Abbreviated Title Lect. Notes in Networks, Syst.
  • DOI https://doi.org/10.1007/978-981-15-4218-3
  • Copyright Information The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
  • Publisher Name Springer, Singapore
  • eBook Packages Intelligent Technologies and Robotics Intelligent Technologies and Robotics (R0)
  • Softcover ISBN 978-981-15-4217-6
  • eBook ISBN 978-981-15-4218-3
  • Series ISSN 2367-3370
  • Series E-ISSN 2367-3389
  • Edition Number 1
  • Number of Pages XXII, 523
  • Number of Illustrations 98 b/w illustrations, 165 illustrations in colour
  • Topics Computational Intelligence
    Machine Learning
    Communications Engineering, Networks
  • Buy this book on publisher's site
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