Intelligent and Cloud Computing (eBook)

This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2021), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, during October 22-23, 2021. The book includes contributions on system and network design that can support existing and future applications and services. It covers topics such as cloud computing system and network design, optimization for cloud computing, networking, and applications, green cloud system design, cloud storage design and networking, storage security, cloud system models, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems.

Prof. (Dr.) Debahuti Mishra received her B.E. degree in Computer Science and Engineering from Utkal University, Bhubaneswar, India, in 1994; her M.Tech. degree in Computer Science and Engineering from KIIT Deemed to be University, Bhubaneswar, India, in 2006; and her Ph.D. degree in Computer Science and Engineering from Siksha 'O' Anusandhan Deemed to be University, Bhubaneswar, India, in 2011. She is currently working as Professor and Head of the Department of Computer Science and Engineering, at the same university.

Dr. Rajkumar Buyya is Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also the founding CEO of Manjrasoft, a spin-off company that commercializes university innovations in cloud computing. He served as Future Fellow of the Australian Research Council from 2012 to 2016. He has authored over 625 publications and seven textbooks, including 'Mastering Cloud Computing,' published by McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese and international markets, respectively.

Dr. Prasant Mohapatra is Vice-Chancellor for Research at the University of California, Davis. He is also Professor at the Department of Computer Science and served as the Dean and Vice-Provost of Graduate Studies at the University of California, Davis, from 2016 to 18. He was also Associate Chancellor in 2014-16 and Interim Vice-Provost and CIO of UC Davis in 2013-14. Further, he was Department Chair of Computer Science from 2007 to 13 and held the Tim Bucher Family Endowed Chair Professorship during that period. He has also been a member of the faculty at Iowa State University and Michigan State University.

Dr. Srikanta Patnaik is Professor at the Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, India. Dr. Patnaik has published 100 research papers in international journals and conference proceedings. Dr. Patnaik is Editor-in-Chief of the International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics, published by Inderscience Publishing House, England, and also Editor-in-Chief of a book series on 'Modeling and Optimization in Science and Technology,' published by Springer, Germany.

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This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2021), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, during October 22-23, 2021. The book includes contributions on system and network design that can support existing and future applications and services. It covers topics such as cloud computing system and network design, optimization for cloud computing, networking, and applications, green cloud system design, cloud storage design and networking, storage security, cloud system models, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems.