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Microservices in Big Data Analytics

Second International, ICETCE 2019, Rajasthan, India, February 1st-2nd 2019, Revised Selected Papers

Editors: Chaudhary, A., Choudhary, C., Gupta, M.K., Lal, C., Badal, T. (Eds.)

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About this book

These proceedings gather cutting-edge papers exploring the principles, techniques, and applications of Microservices in Big Data Analytics.

The ICETCE-2019 is the latest installment in a successful series of annual conferences that began in 2011. Every year since, it has significantly contributed to the research community in the form of numerous high-quality research papers. This year, the conference’s focus was on the highly relevant area of Microservices in Big Data Analytics.

About the authors

Dr. Anil Chaudhary is Professor in the Department of Information Technology at the Swami Keshvanand Institute of Technology. Dr. Chaudhary received Ph.D. in Computer Science Engineering, M.Phil. in Computer Science, M.Tech. in Computer Science, & M.Sc. in Mathematics. He brings with him years of rich experience in Distributed Systems, Enterprise Software Development, Deep Learning in Education, Mobile Application Development, Software Engineering & Modeling. He has published a number of papers in reputed conferences and journals.

Dr. Chothmal Choudhary is currently a Professor in the Department of Computer Science and Engineering at the Swami Keshvanand Institute of Technology, Jaipur. He has vast teaching and industry experience. His current research interests include architectural modeling of web applications and machine learning techniques. He has also published several books and articles with reputed publishers.

Dr. Choudhary has received many grants from different agencies for conducting FDP, workshops, and other programs, to name a few.

Dr. Chhagan Lal is a postdoc research fellow in the Department of Mathematics at University of Padua, Italy, and an Affiliate Associate Professor at the Manipal University Jaipur, India. He obtained Ph.D. in Computer Science and Engineering from Malaviya National Institute of Technology, Jaipur, India, in 2014, and master’s in Information Technology with specialization in “Wireless communication” from Indian Institute of Information Technology, Allahabad, in 2009. His current research areas include blockchain analysis, security in wireless networks, software-defined networking, underwater acoustic networks, and context-based security solutions for Internet of Things (IoT) networks. In this area, he published more than 30 papers in topmost international peer-reviewed journals and conference.

Dr. Mukesh Kumar Gupta is currently working as an Associate Professor in the Department of Computer Science and Engineering at the Swami Keshvanand Institute of Technology, Jaipur, where he joined as a lecturer in 2002. Dr. Gupta received B.E. degree in Computer Science and Engineering from Government Engineering College, Kota, in 1999; M.Tech. from IIT Bombay and Ph.D. from MNIT Jaipur, in 2008 and 2016, respectively.

His current research interests include security of web applications using machine learning techniques and modeling of web applications. Dr. Gupta is a Member of Standing Executive Board (SEB) in Software Technology Parks (STPI) of India, Jaipur; Member Board of Governors, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur; Member of IEEE and IEEE Computer Society. He is a Life Member of the Indian Society for Technical Education (ISTE).

Dr. Tapas Badal is an Associate Professor in the Computer Science and Engineering at Swami Keshvanand Institute of Technology, Jaipur. He received B.Tech. degree from the IES-IPS Academy, Indore, M.Tech. from ABV-IIITM Gwalior, and Ph.D. degrees from the MNIT Jaipur. His research interests include pattern recognition, computer vision, and machine learning. Dr. Badal is interested in surveillance video activity analysis and knowledge extraction. He is currently involved in video-based studies of and efforts to support browsing and analyzing activities.

Table of contents (16 chapters)

Table of contents (16 chapters)
  • Adaptive VM Migration and Allocation Mechanism in Cloud Environment

    Pages 1-12

    Kumar, Narander (et al.)

  • Educational Cloud Framework—A Literature Review on Finding Better Private Cloud Framework for Educational Hub

    Pages 13-27

    Wagh, Nikhil (et al.)

  • Improved DYMO-Based ACO for MANET Using Distance and Density of Nodes

    Pages 29-38

    Kumar, Sumit (et al.)

  • An Efficient ATM Surveillance Framework Using Optical Flow with CNN

    Pages 39-48

    Bisht, Ankit (et al.)

  • An Efficient Approach for Image Encryption Using Zigzag, Arnold Transformation and Double Random-Phase Encoding in Fractional Fourier Transform Domain

    Pages 49-58

    Mathur, Anmol (et al.)

Buy this book

eBook 67,82 €
price for Spain (gross)
  • ISBN 978-981-15-0128-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 83,19 €
price for Spain (gross)
  • ISBN 978-981-15-0127-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Microservices in Big Data Analytics
Book Subtitle
Second International, ICETCE 2019, Rajasthan, India, February 1st-2nd 2019, Revised Selected Papers
Editors
  • Anil Chaudhary
  • Chothmal Choudhary
  • Mukesh Kumar Gupta
  • Chhagan Lal
  • Tapas Badal
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-0128-9
DOI
10.1007/978-981-15-0128-9
Hardcover ISBN
978-981-15-0127-2
Edition Number
1
Number of Pages
XXIV, 188
Number of Illustrations
24 b/w illustrations, 105 illustrations in colour
Topics