This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2019), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, on December 20, 2019. Including 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.
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Prof. (Dr.) Debahuti Mishra received her BE degree in Computer Science and Engineering from Utkal University, Bhubaneswar, India, in 1994; the M.Tech degree in Computer Science and Engineering from KIIT Deemed to be University, Bhubaneswar, Odisha, India, in 2006; and the 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, Fcaulty fo Engineering and Technology (ITER) Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, India. Her research interests include data mining, data acquisition, bioinformatics, software engineering, soft computing and machine learning. She contributed five books and more than 150 research papers in many National and International journals and conferences and also nine Ph.D. scholars are awaded with Ph.D. degree under her supervision.
Dr. Srikanta Patnaik is a Professor in the Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, India. He has received his Ph. D. (Engineering) on Computational Intelligence from Jadavpur University, India in 1999 and supervised 25 Ph.D. Theses and more than 60 Master theses in the area of Computational Intelligence, Soft Computing Applications and Re-Engineering. Dr. Patnaik has published around 100 research papers in international journals and conference proceedings. He is author of 2 text books and 32 edited volumes and few invited book chapters, published by leading international publisher like Springer-Verlag, Kluwer Academic, etc.. Dr. Patnaik is the Editors-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published from Inderscience Publishing House, England and also Editors-in-chief of Book Series on “Modeling and Optimization in Science and Technology” published from Springer, Germany, Book Series on Advances in Computer and Electrical Engineering (ACEE) and Book Series on Advances in Medical Technologies and Clinical Practices (AMTCP), published from IGI-Global, USA. He is Editor of Journal of Information and Communication Convegence Engineering, published by Korean Institute of Information and Communication Convegence Engineering. He is a also Associate Editor of International Journal of Cognitive Informatics and natural Intelligence (IJCINI), published by IGI-Global and International Journal of Granular Computing, Rough Sets and Intelligent Systems (IJGCRSIS) published from Inderscience Publishing House, England.
This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2019), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, on December 20, 2019. Including 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.
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