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Big Data: Related Technologies, Challenges and Future Prospects (SpringerBriefs in Computer Science) - Softcover

Buch 136 von 322: SpringerBriefs in Computer Science

Chen, Min; Mao, Shiwen; Zhang, Yin; Leung, Victor C.M.

 
9783319062440: Big Data: Related Technologies, Challenges and Future Prospects (SpringerBriefs in Computer Science)
Softcover
ISBN 10: 3319062441 ISBN 13: 9783319062440
Verlag: Springer, 2014

Inhaltsangabe

This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.

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Über die Autorin bzw. den Autor

Chan-Hyun Youn received the B.Sc and M.Sc degrees in Electronics Engineering from Kyungpook National University, Daegu, Korea, in 1981 and 1985, respectively. He also received a Ph.D. in Electrical and Communications Engineering from Tohoku University, Japan, in 1994. Before joining the University, from 1986 to 1997, he was the leader of high-speed networking team at KT Telecommunications Network Research Laboratories. Since 2009, he has been a professor at Department of Electrical Engineering in KAIST, Daejeon, Korea. He also was a Dean of Office of Planning Affairs and a Director of Research and Industrial Cooperation Group at former Information and Communications University, in 2006 and 2007. He was a Visiting Professor at MIT in 2003 and has been engaged in the development of Physio-Grid system with Prof. R.G. Mark`s group in LCP (Laboratory for Computational Physiology) of MIT since 2002. He also is a Director of Grid Middleware Research Center at KAIST, where he develops core technologies in the areas of mobile cloud, mobile collaboration system, Internet computing workflow management, distributed network architecture, communication middleware, advanced e-Healthcare system, e-Health application services and others. Currently, he is serving Editor-in-Chief in KIPS (Korea Information Processing Society), and Editor of Journal of Healthcare Engineering (U.K.), and served head of Korea branch (computer section) of IEICE, Japan (2009, 2010). He is a member of IEEE, KICS and IEICE, respectively. Min Chen is a professor in School of Computer Science and Technology at Huazhong University of Science and Technology (HUST). He is Chair of IEEE Computer Society (CS) Special Technical Communities (STC) on Big Data. He was an assistant professor in School of Computer Science and Engineering at Seoul National University (SNU) from Sep. 2009 to Feb. 2012. He serves as editor or associate editor for Information Sciences, Wireless Communicationsand Mobile Computing, IET Communications, IET Networks, Wiley I. J. of Security and Communication Networks, Journal of Internet Technology, KSII Trans. Internet and Information Systems, International Journal of Sensor Networks. He is managing editor for IJAACS and IJART. He is a Guest Editor for IEEE Network, IEEE Wireless Communications Magazine, etc. He is Co-Chair of IEEE ICC 2012-Communications Theory Symposium, and Co-Chair of IEEE ICC 2013-Wireless Networks Symposium. He is General Co-Chair for the 12th IEEE International Conference on Computer and Information Technology (IEEE CIT-2012) and Mobimedia 2015. He is General Vice Chair for Tridentcom 2014. He is Keynote Speaker for CyberC 2012, Mobiquitous 2012 and Cloudcomp 2015. He is a TPC member for IEEE INFOCOM 2014. He has more than 260 paper publications, including 100+ SCI papers, 50+ IEEE Trans./Journal papers, 6 ISI highly cited papers and 1 hot paper. He has published a book on IoT: OPNET IoT Simulation (2015) with HUST Presss, and a book on big data: Big Data Related Technologies (2014) with Springer Series in Computer Science. His Google Scholars Citations reached 5,200+ with an h-index of 34. His top paper was cited 640 times, while his top book was cited 420 times as of Aug 2015. He is an IEEE Senior Member since 2009. His research focuses on Internet of Things, Mobile Cloud, Body Area Networks, Emotion-aware Computing, Healthcare Big Data, Cyber Physical Systems, and Robotics, etc. Patrizio Dazzi is a researcher at the Information Science and Technologies Institute (part of the Italian National Research Council) working on high performance computing and highly distributed systems. He graduated in Computer Science in 2003 at the University of Pisa, in 2004 completed an MSc in Computer Technologies, and was awarded a PhD in 2008 with a thesis titled "Tools and Models for High Level Parallel and Grid Programming". In 2009 he became a researcher at ISTI-CNR and has beena permanent researcher there since

Von der hinteren Coverseite

This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.

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Verlag
Springer
Erscheinungsdatum
2014
Sprache
Englisch
ISBN 10 
3319062441
ISBN 13 
9783319062440
Einband
Taschenbuch
Anzahl der Seiten
101
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