›› 2013, Vol. 28 ›› Issue (6): 929-931.doi: 10.1007/s11390-013-1388-3

• Special Section on Cloud Data Management •     Next Articles


Xiao-Feng Meng, Fusheng Wang   

  1. 1 School of Information, Renmin University of China, Beijing, China;
    2 Department of Biomedical Informatics and Department of Mathematics and Computer Science, Emory University, Atlanta, U.S.A
  • Online:2013-11-05 Published:2013-11-05
  • About author:Xiao-Feng Meng is a full professor at School of Information, Renmin University of China, Beijing. He received a B.S. degree from Hebei University, M.S. degree from Renmin University of China, Ph.D. degree from the Institute of Computing Technology, Chinese Academy of Sciences, all in computer science. He is currently the vice dean of School of Information, Renmin University of China. He is the secretary general of Database Technique Committee of the China Computer Federation (CCF DBTC). His research interests include Web data management, Cloud data management, mobile data management, XML data management, flash-aware DBMS, privacy protection in mobile Web, and social computing. He has published over 100 papers in refereed international journals and conference proceedings including IEEE TKDE, VLDB, SIGMOD, ICDE, EDBT, etc. He has served on the program committee of SIGMOD, ICDE, CIKM, MDM, DASFAA, etc., and the editorial board of Journal of Computer Science and Technology (JCST) and Frontiers of Computer Science (FCS).

Cloud computing and big data have become increasingly popular and are changing our way of thinking about the world by providing new insights and creating new forms of value. The research of cloud data management is to address the challenges in managing large collections of data in the cloud computing environment, and identifying information of value to business, science, government, and society. The huge volumes of data in cloud computing environments pose major infrastructure challenges, including data storage at Petabyte scale, massively parallel query execution, facilities for analytical processing, online query processing, resource optimization, data privacy and security.

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