Cloud Computing for Geospatial Big Data Analytics (eBook)

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Intelligent Edge, Fog and Mist Computing

Autor: Himansu (Hrsg.) Das

CHF 201.00

ISBN: 978-3-030-03359-0

Einband: PDF

Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)

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This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.

Autor	Das, Himansu (Hrsg.) / Barik, Rabindra K. (Hrsg.) / Dubey, Harishchandra (Hrsg.) / Roy, Diptendu Sinha (Hrsg.)
Verlag	Springer Nature Switzerland
Einband	PDF
Erscheinungsjahr	2018
Seitenangabe	289 S.
Ausgabekennzeichen	Englisch
Abbildungen	XII, 289 p. 93 illus., 73 illus. in color.
Auflage	1st ed. 2019

Über den Autor Himansu (Hrsg.) Das

Himansu Das, works as Associate Professor in the School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar, India. He has received Ph.D. in Engineering degree from Veer Surendra Sai University of Technology (VSSUT), Odisha. He has received M.Tech degree in Computer Science and Engineering from the National Institute of Science and Technology, Odisha. He has also received B.Tech degree from the Institute of Technical Education and Research, Odisha, India. He has published several research papers in various international journals and has presented at conferences. He has also edited several books published by IGI Global, Springer, CRC press, and Elsevier. He has also served on many journals and conferences as editorial or reviewer board member. He is proficient in the field of Computer Science Engineering and served as an organizing chair, a publicity chair and acted as a member of the technical program committees of many national and international conferences. He is also associated with various educational and research societies such as IET, IACSIT, ISTE, UACEE, CSI, IAENG, and ISCA. His research interests include the field of Data Mining, Soft Computing, and Machine Learning. He has also more than twelve years of teaching and research experience in various engineering colleges and universities. Arup Abhinna Acharya is currently an Associate Professor and Dean Academics in the School of Computer Engineering at the Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar, India. He has received his Ph.D. and M.Tech degree in Computer Science and Engineering from the Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar, India. He has also received B.Tech degree from the Utkal University, Bhubaneswar, Odisha, India. He has published several research papers in various international journals and has presented at conferences. Heis proficient in the field of Computer Science Engineering and served as an organizing chair, a publicity chair and acted as a member of the technical program committees of many national and international conferences. He is also associated with various educational and research societies such as IET, ISTE, CSI, IAENG, and ISCA. His topics of interest include software engineering, and software testing. Kuan-Ching Li is currently a Professor in the Department of Computer Science and Information Engineering at the Providence University, Taiwan.Dr. Li is the Editor-in-Chief of technical publications International Journal of Computational Science and Engineering (IJCSE), International Journal of Embedded Systems (IJES) and International Journal of High Performance Computing and Networking (IJHPCN), all published by Interscience, also serving a number of journal's editorial boards and guest editorship. His topics of interest include networked computing, GPU computing, parallel software design, and performance evaluation and benchmarking. Dr. Li is a Fellow of the IET and a senior member of the IEEE.