Journal of East China Normal University(Natural Sc ›› 2014, Vol. 2014 ›› Issue (5): 117-132.doi: 10.3969/j.issn.10005641.2014.05.010

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Research on in memory data warehouse cluster technologies

 ZHANG  Yan-Song1,2,3 ,WANG  Shan1,2, ZHOU  Hui1,2   

  1. 1. DEKE Lab, Renmin University of China, Beijing,100872, China;
    2. School of Information, Renmin University of China, Beijing,100872, China;
    3. National Survey Research Center at Renmin University of China, Beijing,100872, China
  • Online:2014-09-25 Published:2014-11-27

Abstract: With the development of hardware integration techniques, multicore processor and big memory come to be main stream configuration and inmemory computing comes to be the emerging high performance data analytical platform. In memory data warehouse cluster technologies target high performance analytical computing, and it will be the basic platform for big data real time analytical processing. This paper briefly introduces the research work on inmemory data warehouse cluster of Renmin University high performance database research group, including the developments of column distribution and column computing service oriented ScaMMDB cluster, horizontal partition and parallel computing oriented ScaMMDBII, and reverse star schema distribution and cluster vector computing oriented MiNTOLAPCluster technologies. The critical issues and technical challenges are also presented in this paper. Finally, we give a prospective discussion on future technologies for the coming in memory data warehouse cluster requirements.

Key words: in memory data warehouse, cluster, vector computing

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